CN115345532B - Carbon emission management platform and method for intelligent group control electric heating system - Google Patents
Carbon emission management platform and method for intelligent group control electric heating system Download PDFInfo
- Publication number
- CN115345532B CN115345532B CN202211282980.XA CN202211282980A CN115345532B CN 115345532 B CN115345532 B CN 115345532B CN 202211282980 A CN202211282980 A CN 202211282980A CN 115345532 B CN115345532 B CN 115345532B
- Authority
- CN
- China
- Prior art keywords
- carbon
- carbon emission
- factor
- electric
- electrical
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 405
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 405
- 238000005485 electric heating Methods 0.000 title claims abstract description 54
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000004364 calculation method Methods 0.000 claims abstract description 54
- 238000007726 management method Methods 0.000 claims abstract description 51
- 230000005611 electricity Effects 0.000 claims abstract description 19
- 230000008859 change Effects 0.000 claims abstract description 15
- 238000004458 analytical method Methods 0.000 claims abstract description 13
- 238000013500 data storage Methods 0.000 claims abstract description 5
- 230000003321 amplification Effects 0.000 claims description 49
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 49
- 238000004590 computer program Methods 0.000 claims description 18
- 238000005192 partition Methods 0.000 claims description 10
- 238000003860 storage Methods 0.000 claims description 6
- 229910000831 Steel Inorganic materials 0.000 claims 1
- 239000010959 steel Substances 0.000 claims 1
- 238000010438 heat treatment Methods 0.000 abstract description 5
- 238000011217 control strategy Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 13
- 238000012545 processing Methods 0.000 description 9
- 238000004891 communication Methods 0.000 description 8
- 230000008569 process Effects 0.000 description 5
- 238000004134 energy conservation Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D13/00—Electric heating systems
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
- F24D19/10—Arrangement or mounting of control or safety devices
- F24D19/1096—Arrangement or mounting of control or safety devices for electric heating systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- Primary Health Care (AREA)
- Combustion & Propulsion (AREA)
- General Health & Medical Sciences (AREA)
- Thermal Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Mechanical Engineering (AREA)
- Development Economics (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- Geometry (AREA)
- Evolutionary Computation (AREA)
- Computer Hardware Design (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Electric Stoves And Ranges (AREA)
Abstract
The invention relates to the technical field of heating supply, in particular to a carbon emission management platform and a method for an intelligent group control electric heating system. The data acquisition module acquires electric heater power, indoor temperature and electric carbon factor. And the carbon emission calculation module calculates the carbon emission of the system according to the embedded carbon emission calculation model. The carbon emission control module is divided into two modes, wherein when the electric carbon factor is a constant, the minimum electricity consumption is taken as a constraint, and carbon emission control is carried out according to an intelligent control strategy of an electric heating system; and secondly, when the electrical carbon factor is a variation value, the carbon emission is controlled according to the embedded multi-parameter control model by taking the minimum carbon emission as a constraint. The data storage module stores target user information and carbon emission. The carbon emission analysis module analyzes the user carbon emission dynamic change. The platform realizes the metering, the checking and the control of the carbon emission of the intelligent group control electric heating system.
Description
Technical Field
The invention relates to the technical field of heating, in particular to a carbon emission management platform and method for an intelligent group control electric heating system.
Background
With increasing carbon emissions, energy and carbon savings have risen as a worldwide consensus. And because the electric heating has the characteristics of energy conservation, flexibility and controllability, the electric heating becomes one of the main modes of future heating. How to check, measure and control the carbon emission of the electric heating users is one of the main ways of intelligent group control electric heating system carbon emission management.
Before the technology of the invention, the existing household electric heating system lacks management means such as monitoring, control and analysis of carbon emission, which causes that in the use process of electric heating equipment, coordination control of effective combination of carbon emission data is difficult to perform, and the carbon emission level is reduced to the maximum extent, so that a responsive carbon emission management platform is urgently needed to be designed.
Disclosure of Invention
In view of the above problems, the invention provides a carbon emission management platform and a method for an intelligent group control electric heating system, which take energy conservation and carbon reduction as constraints and establish a control strategy for regional user carbon emission management, so that electric heating can complete intelligent group control, and carbon emission is 'clear and visible' and carbon management is 'traceable'.
According to a first aspect of the embodiments of the present invention, a carbon emission management platform of an intelligent group control electric heating system is provided.
In one or more embodiments, preferably, the intelligent group control electric heating system carbon emission management platform comprises:
the data acquisition module is used for acquiring the power of the electric heater, the indoor temperature and the electric carbon factor;
the carbon emission calculation module is used for calculating the carbon emission according to the power of the electric heater and the electric carbon factor;
the carbon emission control module is used for controlling carbon emission in a first regulation mode and a second regulation mode according to the indoor temperature and the electric carbon factor;
the data storage module is used for storing target user information and carbon emission;
the carbon emission analysis module is used for analyzing the dynamic change of the carbon emission of the user according to the target user information and the carbon emission;
the first regulation and control mode is specifically used for controlling carbon emission by taking the minimum power consumption as a constraint when the electrical carbon factor is a constant;
and the second regulation and control mode is to control the carbon emission by taking the minimum carbon emission as a constraint when the electrical carbon factor is a variable value.
In one or more embodiments, preferably, the data acquisition module specifically includes:
building information is collected, and a building information database is established;
acquiring electric heater information including the type of an electric heater, the rated power of the electric heater and the control mode of the electric heater, and establishing an electric heater database;
collecting local management information including local electricity charge conditions, building energy-saving level and the like, and establishing a management database;
collecting indoor temperature in real time, and establishing an indoor temperature database;
and collecting the electrical carbon factor, and establishing a carbon emission factor database.
In one or more embodiments, preferably, the carbon emission calculation module calculates the carbon emission of the system according to an embedded carbon emission calculation model, and specifically includes:
obtaining an electrical carbon factor and electric heater power, and calculating the carbon emission of a user by using a first calculation formula;
calculating the regional carbon emission by using a second calculation formula according to the user carbon emission;
the first calculation formula is:
wherein,the carbon emission of the j-th user of the ith sub-area,the power of the electric heater of the j user of the ith subarea,the electric carbon factor of the jth user of the ith subarea;
the second calculation formula is:
wherein,in order to achieve regional carbon emissions,nis the total number of the partitions,mis the total number of users in the partition.
In one or more embodiments, preferably, the carbon emission control module specifically includes:
acquiring the current lowest allowable temperature of each room;
acquiring a preset temperature amplification;
selecting an amplification level, wherein the amplification level comprises a first amplification, a second amplification and a third amplification;
when the amplification level is the first amplification, calculating the set temperature of the first room by using a third calculation formula;
when the amplification level is the second amplification, calculating a second room set temperature by using a fourth calculation formula;
when the amplification level is the third amplification, calculating the set temperature of the third room by using a fifth calculation formula;
judging whether the electrical carbon factor changes or not;
when the electrical carbon factor is a constant, adopting the first regulation and control mode to control carbon emission;
when the electrical carbon factor is not a constant, adopting the second regulation and control mode to control carbon emission;
the third calculation formula is:
wherein,t 1 a temperature is set for the first room and,the minimum allowable temperature is set as the minimum allowable temperature,amplifying the preset temperature;
the fourth calculation formula is:
wherein,t 2 setting a temperature for the second room;
the fifth calculation formula is:
wherein,t 3 setting a temperature for the third room.
In one or more embodiments, preferably, when the electrical carbon factor is constant, the carbon emission control using the first regulation and control mode specifically includes:
acquiring a current electricity price level, and if the electricity price level is in a peak time period, selecting the set temperature of the electric heater as the lowest allowable temperature;
if the electricity price level is in the valley time period, the set temperature of the electric heater is increased by a preset amplitude within the comfort degree allowable range, and the set temperature of the third room is selected;
if the electricity price level is in the flat time period, the set temperature of the electric heater is not adjusted;
acquiring the current indoor temperature, judging whether a person enters a room or not through an infrared detector, and selecting the set temperature of the electric heater as the lowest allowable temperature within the comfort running range under the condition that no person enters the room;
and if the room is entered by people and the indoor temperature is lower than the lowest allowable temperature currently, adjusting the opening degree of the electric heater according to the comfort requirement.
In one or more embodiments, preferably, when the electrical carbon factor is not constant, the carbon emission control using the second regulation mode specifically includes:
calculating a maximum electrical carbon factor, a minimum electrical carbon factor, and an average electrical carbon factor for the last 1 month when the electrical carbon factor is not a constant;
obtaining a real-time electrical carbon factor, and judging the size relationship between the electrical carbon factor and a maximum electrical carbon factor, a minimum electrical carbon factor and an average electrical carbon factor;
when the real-time electrical carbon factor is not greater than the minimum electrical carbon factor, selecting the set temperature of the electric heater as the set temperature of the third room;
selecting the electric heater set temperature as the second room set temperature when the real-time electric carbon factor is greater than the minimum electric carbon factor and not greater than the average electric carbon factor;
selecting the electric heater set temperature as the first room set temperature when the real-time electric carbon factor is greater than the average electric carbon factor and not greater than the maximum electric carbon factor;
and when the real-time electric carbon factor is not less than the maximum electric carbon factor, selecting the set temperature of the electric heater as the lowest allowable temperature.
In one or more embodiments, preferably, the carbon emission analysis module specifically includes:
acquiring carbon emission levels of all electric heaters, and recording corresponding time;
managing the carbon emission levels of all electric heaters and corresponding user information;
calculating the carbon emission generated by the current user on a unit area as the carbon emission of the user on the unit area;
the carbon emission per unit area of the user is compared with the carbon emission per unit area of the corresponding area, and the carbon emission level of the current user is judged;
and calculating the carbon emission value of each user and each area by taking days, months and seasons as time dimensions, and predicting the carbon emission for a period of time in the future according to the plan.
According to a second aspect of the embodiments of the present invention, a method for managing carbon emissions of an intelligent group control electric heating system is provided.
In one or more embodiments, preferably, the method for managing carbon emission of an intelligent group control electric heating system includes:
collecting power, indoor temperature and electric carbon factor of an electric heater;
calculating the carbon emission according to the power of the electric heater and the electric carbon factor;
controlling carbon emission in a first regulation mode and a second regulation mode according to the indoor temperature and the electric carbon factor;
storing target user information and carbon emission;
analyzing the dynamic change of the carbon emission of the user according to the target user information and the carbon emission;
the first regulation and control mode is to control carbon emission by taking the minimum power consumption as a constraint when the electrical carbon factor is a constant;
and the second regulation and control mode is to control the carbon emission by taking the minimum carbon emission as a constraint when the electrical carbon factor is a variable value.
According to a third aspect of embodiments of the present invention, there is provided a computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the method according to any one of the first aspect of embodiments of the present invention.
According to a fourth aspect of embodiments of the present invention, there is provided an electronic device, comprising a memory and a processor, the memory being configured to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method of any one of the first aspect of embodiments of the present invention.
The technical scheme provided by the embodiment of the invention can have the following beneficial effects:
in the scheme of the invention, the real-time power and the electric carbon factor of the user electric heater are collected, the real-time carbon emission of the user electric heater is calculated, and the carbon emission can be calculated.
In the scheme of the invention, a user database and a carbon emission database are established to realize the check of the carbon emission, and the opening of the user electric heater is flexibly controlled according to the indoor temperature and comfort level criteria of the user and the parameter change conditions of carbon emission factors and the like to realize the control of the carbon emission.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
Fig. 1 is a structural diagram of a carbon emission management platform of an intelligent group control electric heating system according to an embodiment of the present invention.
Fig. 2 is a flowchart of the data acquisition module in the carbon emission management platform of the intelligent group control electric heating system according to an embodiment of the present invention.
Fig. 3 is a flowchart of a carbon emission calculation module in a carbon emission management platform of an intelligent group control electric heating system according to an embedded carbon emission calculation model for calculating the carbon emission of the system according to an embodiment of the present invention.
Fig. 4 is a flowchart of a carbon emission control module in a carbon emission management platform of an intelligent group control electric heating system according to an embodiment of the present invention.
Fig. 5 is a flowchart of carbon emission control in a carbon emission management platform of an intelligent group control electric heating system according to an embodiment of the present invention, when an electric carbon factor is constant, using a first regulation mode.
Fig. 6 is a flowchart of carbon emission control in a second control mode when the electrical carbon factor is not constant in a carbon emission management platform of an intelligent group control electric heating system according to an embodiment of the present invention.
Fig. 7 is a flowchart of a carbon emission analysis module in a carbon emission management platform of an intelligent group control electric heating system according to an embodiment of the present invention.
Fig. 8 is a flowchart of a carbon emission management method of an intelligent group control electric heating system according to an embodiment of the present invention.
Fig. 9 is a block diagram of an electronic device in one embodiment of the invention.
Detailed Description
In some of the flows described in the present specification and claims and in the above figures, a number of operations are included that occur in a particular order, but it should be clearly understood that these operations may be performed out of order or in parallel as they occur herein, with the order of the operations being indicated as 101, 102, etc. merely to distinguish between the various operations, and the order of the operations by themselves does not represent any order of performance. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
With increasing carbon emissions, energy and carbon savings have risen as a worldwide consensus. And because the electric heating has the characteristics of energy conservation, flexibility and controllability, the electric heating becomes one of the main modes of future heating. How to check, measure and control the carbon emission of electric heating users is one of the main ways of intelligent group control electric heating system carbon emission management.
Before the technology of the invention, the existing household electric heating system lacks management means such as monitoring, control and analysis of carbon emission, which causes that in the use process of electric heating equipment, coordination control of effective combination of carbon emission data is difficult to perform, and the carbon emission level is reduced to the maximum extent, so that a responsive carbon emission management platform is urgently needed to be designed.
The embodiment of the invention provides a carbon emission management platform and a carbon emission management method for an intelligent group control electric heating system. The scheme takes energy conservation and carbon reduction as constraints, establishes a control strategy for regional user carbon emission management, enables electric heating to complete intelligent group control, and realizes 'clear visibility' of carbon emission and 'traceable and circulative' of carbon management.
According to a first aspect of the embodiments of the present invention, a carbon emission management platform for an intelligent group control electric heating system is provided.
Fig. 1 is a structural diagram of a carbon emission management platform of an intelligent group control electric heating system according to an embodiment of the present invention.
In one or more embodiments, preferably, the intelligent group control electric heating system carbon emission management platform comprises:
the data acquisition module 101 is used for acquiring the power of an electric heater, the indoor temperature and the electric carbon factor;
a carbon emission calculation module 102, configured to calculate a carbon emission amount according to the electric heater power and the electric carbon factor;
a carbon emission control module 103 for performing carbon emission control in a first regulation mode and a second regulation mode according to the indoor temperature and the electrical carbon factor;
a data storage module 104 for storing target user information and carbon emission;
a carbon emission analysis module 105, configured to analyze a user carbon emission dynamic change according to the target user information and the carbon emission;
the first regulation and control mode is to control carbon emission by taking the minimum power consumption as a constraint when the electrical carbon factor is a constant;
and the second regulation and control mode is to control the carbon emission by taking the minimum carbon emission as a constraint when the electrical carbon factor is a variable value.
In the embodiment of the invention, the data acquisition module, the carbon emission calculation module, the carbon emission control module, the data storage module and the carbon emission analysis module are arranged to monitor, store, calculate, control and analyze the carbon emission process, so that the carbon emission of the intelligent group control electric heating system can be calculated, inquired and controlled.
Fig. 2 is a flowchart of the data acquisition module in the carbon emission management platform of the intelligent group control electric heating system according to an embodiment of the present invention.
As shown in fig. 2, in one or more embodiments, preferably, the data acquisition module specifically includes:
s201, collecting building information and establishing a building information database;
s202, collecting electric heater information including electric heater model, electric heater rated power and electric heater control mode, and establishing an electric heater database;
s203, collecting local management information including local electric charge conditions, building energy-saving levels and the like, and establishing a management database;
s204, collecting indoor temperature in real time, and establishing an indoor temperature database;
and S205, collecting the electrical carbon factor, and establishing a carbon emission factor database.
In the embodiment of the invention, in order to reliably and comprehensively acquire the carbon emission information of the intelligent group control electric heating system, data are extracted through a plurality of databases, specifically including building information, electric heater information, management information of a region where the electric heater is located, indoor temperature information and electric carbon factors, and the data are basic data for real-time carbon emission data analysis.
Fig. 3 is a flowchart of a carbon emission calculation module in a carbon emission management platform of an intelligent group control electric heating system according to an embedded carbon emission calculation model for calculating the carbon emission of the system according to an embodiment of the present invention.
As shown in fig. 3, in one or more embodiments, preferably, the carbon emission calculation module calculates a carbon emission amount of the system according to the embedded carbon emission calculation model, and specifically includes:
s301, acquiring an electrical carbon factor and electric heater power, and calculating the carbon emission of a user by using a first calculation formula;
s302, calculating the regional carbon emission by using a second calculation formula according to the user carbon emission;
the first calculation formula is:
wherein,the carbon emission of the j-th user of the ith sub-area,the power of the electric heater for the j user of the ith subarea,the electric carbon factor of the j user of the ith subarea;
the second calculation formula is:
wherein,in order to discharge the carbon in the area,nis the total number of the partitions,mis the total number of users in the partition.
In the embodiment of the invention, two levels of partitions are adopted, the first level of partition is obtained by dividing the area into n partitions, the second level is obtained by independently collecting m electric heaters in each partition, and further, considering the calculation of the carbon emission of each user, each electric carbon factor mainly refers to the proportion of carbon emission generated under different user powers.
Fig. 4 is a flowchart of a carbon emission control module in a carbon emission management platform of an intelligent group control electric heating system according to an embodiment of the present invention.
As shown in fig. 4, in one or more embodiments, preferably, the carbon emission control module specifically includes:
s401, acquiring the lowest allowable temperature of each current room;
s402, acquiring a preset temperature amplification;
s403, selecting an amplification level, wherein the amplification level comprises a first amplification, a second amplification and a third amplification;
s404, when the amplification level is the first amplification, calculating the set temperature of the first room by using a third calculation formula;
s405, when the amplification level is the second amplification, calculating a second room set temperature by using a fourth calculation formula;
s406, when the amplification level is the third amplification, calculating the set temperature of the third room by using a fifth calculation formula;
s407, judging whether the electrical carbon factor changes;
s408, when the electrical carbon factor is a constant, controlling carbon emission by adopting a first regulation and control mode;
s409, when the electrical carbon factor is not a constant, controlling carbon emission by adopting a second regulation and control mode;
the third calculation formula is:
wherein,t 1 a temperature is set for the first room and,the minimum allowable temperature is set as the minimum allowable temperature,amplifying the preset temperature;
the fourth calculation formula is:
wherein,t 2 setting a temperature for the second room;
the fifth calculation formula is:
wherein,t 3 setting a temperature for the third room.
In the embodiment of the invention, in order to realize hierarchical and graded control of carbon emission according to specific room temperature, corresponding room set temperatures are respectively calculated according to different amplification levels, and then the carbon emission is controlled according to different room set temperatures by combining the change of an electric carbon factor on the basis, so that the calculation, the control and the analysis of the carbon emission are realized.
Fig. 5 is a flowchart of carbon emission control in a carbon emission management platform of an intelligent group control electric heating system according to an embodiment of the present invention, when an electric carbon factor is constant, using a first regulation mode.
As shown in fig. 5, in one or more embodiments, preferably, when the electrical carbon factor is a constant, the carbon emission control using the first regulation mode specifically includes:
s501, obtaining a current electricity price level, and if the electricity price level is in a peak time period, setting the temperature of the electric heater to be the lowest allowable temperature;
s502, if the electricity price level is in a valley time period, the set temperature of the electric heater is increased within a comfort degree allowed range by a preset amplitude, and the set temperature of the third room is selected;
s503, if the electricity price level is in a flat time period, the set temperature of the electric heater is not adjusted;
s504, acquiring the current indoor temperature, judging whether a person enters a room or not through an infrared detector, and selecting the set temperature of the electric heater as the lowest allowable temperature within the comfort running range under the condition that no person enters the room;
and S505, if a person enters the room and the current indoor temperature is lower than the lowest allowable temperature, adjusting the opening degree of the electric heater according to the comfort requirement.
In the embodiment of the invention, in the process of executing the secondary scheme, whether the set temperature of the electric heater is within the comfort degree allowable range needs to be determined, and if the set temperature exceeds the real-time comfort degree allowable range, the preset temperature increase is properly reduced.
Fig. 6 is a flowchart of carbon emission control in a second control mode when the electrical carbon factor is not constant in a carbon emission management platform of an intelligent group control electrical heating system according to an embodiment of the present invention.
As shown in fig. 6, in one or more embodiments, preferably, when the electrical carbon factor is not constant, the performing carbon emission control by using the second control mode specifically includes:
s601, when the electrical carbon factor is not constant, calculating the maximum electrical carbon factor, the minimum electrical carbon factor and the average electrical carbon factor of the last 1 month;
s602, obtaining a real-time electrical carbon factor, and judging the size relationship between the electrical carbon factor and a maximum electrical carbon factor, a minimum electrical carbon factor and an average electrical carbon factor;
s603, when the real-time electrical carbon factor is not greater than the minimum electrical carbon factor, selecting the set temperature of the electric heater as the set temperature of the third room;
s604, when the real-time electrical carbon factor is larger than the minimum electrical carbon factor and not larger than the average electrical carbon factor, selecting the set temperature of the electric heater as the set temperature of the second room;
s605, when the real-time electrical carbon factor is larger than the average electrical carbon factor and not larger than the maximum electrical carbon factor, selecting the set temperature of the electric heater as the set temperature of the first room;
and S606, when the real-time electric carbon factor is not less than the maximum electric carbon factor, selecting the set temperature of the electric heater as the lowest allowable temperature.
In the embodiment of the invention, in order to realize the selection of the current real-time electric heater set temperature according to the change conditions of different electric carbon factors and according to the historical data of the electric carbon factors, the selected range is the lowest allowable temperature, the first room set temperature, the second room set temperature and the third room set temperature, and the adjustment of the corresponding electric heater set temperature is sequentially carried out through different electric carbon indexes, so that the adaptive control of the minimum carbon emission of the electric heater group is realized.
Fig. 7 is a flowchart of a carbon emission analysis module in a carbon emission management platform of an intelligent group control electric heating system according to an embodiment of the present invention.
As shown in fig. 7, in one or more embodiments, preferably, the carbon emission analysis module specifically includes:
s701, acquiring carbon emission levels of all electric heaters, and recording corresponding time;
s702, managing the carbon emission levels of all electric heaters and corresponding user information;
s703, calculating the carbon emission generated by the current user in unit area, and taking the carbon emission as the carbon emission of the user in unit area;
s704, making a ratio of the carbon emission of the user in the unit area to the carbon emission of the user in the unit area in the corresponding area, and judging the carbon emission level of the current user;
s705, with the day, the month and the season as time dimensions, judging the carbon emission change curve of each user and each region, and predicting the carbon emission in a future period of time according to the plan.
In the embodiment of the invention, the carbon emission distribution rule and the carbon emission management level are effectively analyzed. And analyzing the carbon emission rule by taking the user as a unit and taking the day, month and season as time dimensions. And analyzing the carbon emission of the area per unit area, and evaluating the carbon emission management level of the area according to the carbon emission of the user per unit area and the average area carbon emission degree of the area.
According to a second aspect of the embodiments of the present invention, a method for managing carbon emissions of an intelligent group control electric heating system is provided.
Fig. 8 is a block diagram illustrating a method for managing carbon emissions of an intelligent group control electric heating system according to an embodiment of the present invention.
In one or more embodiments, preferably, the method for managing carbon emission of an intelligent group control electric heating system includes:
s801, collecting power of an electric heater, indoor temperature and electric carbon factor;
s802, calculating carbon emission according to the power of the electric heater and the electric carbon factor;
s803, controlling carbon emission in a first regulation mode and a second regulation mode according to the indoor temperature and the electric carbon factor;
s804, storing target user information and carbon emission;
s805, analyzing the dynamic change of the carbon emission of the user according to the target user information and the carbon emission;
the first regulation and control mode is specifically used for controlling carbon emission by taking the minimum power consumption as a constraint when the electrical carbon factor is a constant;
and the second regulation and control mode is to control the carbon emission by taking the minimum carbon emission as a constraint when the electrical carbon factor is a variable value.
According to a third aspect of embodiments of the present invention, there is provided a computer-readable storage medium on which computer program instructions are stored, the computer program instructions, when executed by a processor, implementing a method according to any one of the first aspect of embodiments of the present invention.
According to a fourth aspect of the embodiments of the present invention, there is provided an electronic apparatus. Fig. 9 is a block diagram of an electronic device in one embodiment of the invention. The electronic device shown in fig. 9 is a carbon emission management device of a general intelligent group control electric heating system. Referring to fig. 9, the electronic device includes a plurality of acquisition devices 901 and a processing device 902; the different acquisition devices 901 monitor different areas of a target scene, and the monitoring areas of the multiple acquisition devices cover the target scene;
each acquisition device 901 is configured to acquire an image of a target scene and identify user information of a moving target in the acquired image;
the processing device 902 includes a processor 903, a communication interface 904, a memory 905, and a communication bus 906, wherein the processor 903, the communication interface 904, and the memory 905 communicate with each other via the communication bus 906,
a memory 905 for storing a computer program;
the processor 903 is configured to implement any of the above-mentioned steps of the carbon emission management method for the intelligent group control electric heating system according to the embodiments of the present invention when executing the computer program stored in the memory 905.
The communication bus 906 mentioned above as the processing device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus 906 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one line is shown, but that does not represent only one bus or type of bus.
The communication interface 904 is used for communication between the processing device and other devices.
The Memory 905 may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Alternatively, the memory 905 may be at least one memory device located remotely from the processor 903.
The Processor 903 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
The technical scheme provided by the embodiment of the invention can have the following beneficial effects:
in the scheme of the invention, the real-time power and the electric carbon factor of the user electric heater are collected, the real-time carbon emission of the user electric heater is calculated, and the carbon emission can be calculated.
In the scheme of the invention, a user database and a carbon emission database are established to realize the check of the carbon emission, and the opening of the user electric heater is flexibly controlled according to the indoor temperature and comfort level criteria of the user and the parameter change conditions of carbon emission factors and the like to realize the control of the carbon emission.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (7)
1. The utility model provides an electric heating system carbon emission management platform of intelligence group control which characterized in that, this platform includes:
the data acquisition module is used for acquiring the power of the electric heater, the indoor temperature and the electric carbon factor;
the carbon emission calculation module is used for calculating the carbon emission according to the power of the electric heater and the electric carbon factor;
the carbon emission control module is used for controlling carbon emission in a first regulation mode and a second regulation mode according to the indoor temperature and the electric carbon factor;
the data storage module is used for storing target user information and carbon emission;
the carbon emission analysis module is used for analyzing the dynamic change of the carbon emission of the user according to the target user information and the carbon emission;
the first regulation and control mode is to control carbon emission by taking the minimum power consumption as a constraint when the electrical carbon factor is a constant;
the second regulation and control mode is specifically used for controlling carbon emission by taking minimum carbon emission as a constraint when the electrical carbon factor is a change value;
the carbon emission control module specifically comprises:
acquiring the current minimum allowable temperature of each room;
acquiring a preset temperature amplification;
selecting an amplification level, wherein the amplification level comprises a first amplification, a second amplification, and a third amplification;
when the amplification level is the first amplification, calculating the set temperature of the first room by using a third calculation formula;
when the amplification level is the second amplification, calculating a second room set temperature by using a fourth calculation formula;
when the amplification level is the third amplification, calculating the set temperature of the third room by using a fifth calculation formula;
judging whether the electrical carbon factor changes or not;
when the electrical carbon factor is constant, adopting the first regulation and control mode to control carbon emission;
when the electrical carbon factor is not a constant, adopting the second regulation and control mode to control carbon emission;
the third calculation formula is:
wherein,t 1 a temperature is set for the first room,is the lowest allowable temperature of the molten steel,amplifying the preset temperature;
the fourth calculation formula is:
wherein,t 2 setting a temperature for the second room;
wherein,t 3 setting a temperature for the third room;
when the electrical carbon factor is a constant, the carbon emission control is performed by adopting a first regulation and control mode, and the method specifically comprises the following steps:
acquiring a current electricity price level, and if the electricity price level is in a peak time period, selecting the set temperature of the electric heater as the lowest allowable temperature;
if the electricity price level is in the valley time period, the set temperature of the electric heater is increased by a preset amplitude within the comfort degree allowable range, and the set temperature of the third room is selected;
if the electricity price level is in the flat time period, the set temperature of the electric heater is not adjusted;
acquiring the current indoor temperature, judging whether a person enters a room or not through an infrared detector, and selecting the set temperature of the electric heater as the lowest allowable temperature within the comfort running range under the condition that no person enters the room;
if a person enters a room and the current indoor temperature is lower than the lowest allowable temperature, adjusting the opening degree of the electric heater according to the comfort requirement;
wherein when the electrical carbon factor is not a constant, carbon emission control is performed using a second regulation mode, specifically comprising:
calculating a maximum electrical carbon factor, a minimum electrical carbon factor, and an average electrical carbon factor for the last 1 month when the electrical carbon factor is not constant;
obtaining a real-time electrical carbon factor, and judging the size relationship between the electrical carbon factor and a maximum electrical carbon factor, a minimum electrical carbon factor and an average electrical carbon factor;
when the real-time electrical carbon factor is not greater than the minimum electrical carbon factor, selecting the set temperature of the electric heater as the set temperature of the third room;
selecting the electric heater set temperature as the second room set temperature when the real-time electric carbon factor is greater than the minimum electric carbon factor and not greater than the average electric carbon factor;
selecting the electric heater set temperature as the first room set temperature when the real-time electric carbon factor is greater than the average electric carbon factor and not greater than the maximum electric carbon factor;
and when the real-time electrical carbon factor is not less than the maximum electrical carbon factor, selecting the set temperature of the electric heater as the lowest allowable temperature.
2. The carbon emission management platform of the intelligent group control electric heating system according to claim 1, wherein the data acquisition module specifically comprises:
building information is collected, and a building information database is established;
acquiring electric heater information including the type of an electric heater, the rated power of the electric heater and the control mode of the electric heater, and establishing an electric heater database;
collecting local management information including local electricity charge conditions and building energy-saving level, and establishing a management database;
collecting indoor temperature in real time, and establishing an indoor temperature database;
and collecting the electrical carbon factor, and establishing a carbon emission factor database.
3. The carbon emission management platform of an intelligent group control electric heating system according to claim 1, wherein the carbon emission calculation module calculates the carbon emission of the system according to the embedded carbon emission calculation model, and specifically comprises:
obtaining an electrical carbon factor and electric heater power, and calculating the carbon emission of a user by using a first calculation formula;
calculating the regional carbon emission by using a second calculation formula according to the user carbon emission;
wherein,the carbon emission amount of the jth user of the ith sub-area,the power of the electric heater of the j user of the ith subarea,the electric carbon factor of the j user of the ith subarea;
the second calculation formula is:
4. The carbon emission management platform of the intelligent group control electric heating system according to claim 1, wherein the carbon emission analysis module specifically comprises:
acquiring carbon emission levels of all electric heaters, and recording corresponding time;
managing the carbon emission levels of all electric heaters and corresponding user information;
calculating the carbon emission generated by the current user on a unit area as the carbon emission of the user on the unit area;
the carbon emission per unit area of the user is compared with the carbon emission per unit area of the corresponding area, and the carbon emission level of the current user is judged;
and calculating the carbon emission change condition of each user and each region by taking days, months and seasons as time dimensions, and predicting the carbon emission for a period of time in the future according to a plan.
5. A carbon emission management method for an intelligent group control electric heating system is characterized by comprising the following steps:
collecting power, indoor temperature and electric carbon factor of an electric heater;
calculating the carbon emission according to the power of the electric heater and the electric carbon factor;
performing carbon emission control in a first regulation mode and a second regulation mode according to the indoor temperature and the electrical carbon factor;
storing target user information and carbon emission;
analyzing the dynamic change of the carbon emission of the user according to the target user information and the carbon emission;
the first regulation and control mode is specifically used for controlling carbon emission by taking the minimum power consumption as a constraint when the electrical carbon factor is a constant;
the second regulation and control mode is specifically used for controlling carbon emission by taking minimum carbon emission as a constraint when the electrical carbon factor is a change value;
the carbon emission control in a first regulation mode and a second regulation mode according to the indoor temperature and the electrical carbon factor specifically includes:
acquiring the current minimum allowable temperature of each room;
acquiring a preset temperature amplification;
selecting an amplification level, wherein the amplification level comprises a first amplification, a second amplification and a third amplification;
when the amplification level is the first amplification, calculating the set temperature of the first room by using a third calculation formula;
when the amplification level is the second amplification, calculating a second room set temperature by using a fourth calculation formula;
when the amplification level is the third amplification, calculating the set temperature of the third room by using a fifth calculation formula;
judging whether the electrical carbon factor changes or not;
when the electrical carbon factor is constant, adopting the first regulation and control mode to control carbon emission;
when the electrical carbon factor is not constant, adopting the second regulation and control mode to control carbon emission;
the third calculation formula is:
wherein,t 1 a temperature is set for the first room,the minimum allowable temperature is set as the minimum allowable temperature,amplifying the preset temperature;
the fourth calculation formula is:
wherein,t 2 setting a temperature for the second room;
the fifth calculation formula is:
wherein,t 3 setting a temperature for the third room;
when the electrical carbon factor is a constant, the carbon emission control is performed by adopting a first regulation and control mode, and the method specifically comprises the following steps:
acquiring a current electricity price level, and if the electricity price level is in a peak time period, selecting the set temperature of the electric heater as the lowest allowable temperature;
if the electricity price level is in the valley time period, the set temperature of the electric heater is increased by a preset amplitude within the comfort degree allowable range, and the set temperature of the third room is selected;
if the electricity price level is in a flat time period, the set temperature of the electric heater is not adjusted;
acquiring the current indoor temperature, judging whether a person enters a room or not through an infrared detector, and selecting the set temperature of the electric heater as the lowest allowable temperature within the comfort running range under the condition that no person enters the room;
if a person enters a room and the current indoor temperature is lower than the lowest allowable temperature, adjusting the opening degree of the electric heater according to the comfort requirement;
wherein when the electrical carbon factor is not a constant, carbon emission control is performed using a second regulation mode, specifically comprising:
calculating a maximum electrical carbon factor, a minimum electrical carbon factor, and an average electrical carbon factor for the last 1 month when the electrical carbon factor is not constant;
obtaining a real-time electrical carbon factor, and judging the size relationship between the electrical carbon factor and a maximum electrical carbon factor, a minimum electrical carbon factor and an average electrical carbon factor;
when the real-time electrical carbon factor is not greater than the minimum electrical carbon factor, selecting the set temperature of the electric heater as the set temperature of the third room;
selecting the electric heater set temperature as the second room set temperature when the real-time electric carbon factor is greater than the minimum electric carbon factor and not greater than the average electric carbon factor;
selecting the electric heater set temperature as the first room set temperature when the real-time electric carbon factor is greater than the average electric carbon factor and not greater than the maximum electric carbon factor;
and when the real-time electric carbon factor is not less than the maximum electric carbon factor, selecting the set temperature of the electric heater as the lowest allowable temperature.
6. A computer-readable storage medium on which computer program instructions are stored, which computer program instructions, when executed by a processor, implement the method as claimed in claim 5.
7. An electronic device comprising a memory and a processor, wherein the memory is configured to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method as recited in claim 5.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211282980.XA CN115345532B (en) | 2022-10-20 | 2022-10-20 | Carbon emission management platform and method for intelligent group control electric heating system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211282980.XA CN115345532B (en) | 2022-10-20 | 2022-10-20 | Carbon emission management platform and method for intelligent group control electric heating system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN115345532A CN115345532A (en) | 2022-11-15 |
CN115345532B true CN115345532B (en) | 2022-12-20 |
Family
ID=83957104
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211282980.XA Active CN115345532B (en) | 2022-10-20 | 2022-10-20 | Carbon emission management platform and method for intelligent group control electric heating system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115345532B (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116187788A (en) * | 2023-05-04 | 2023-05-30 | 江苏智能低碳科技发展有限公司 | Application platform of carbon management algorithm for factory |
CN116663781B (en) * | 2023-07-28 | 2023-10-20 | 中国环境科学研究院 | Method for accounting greenhouse gas emission of steel slag, electronic equipment and storage medium |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112215621A (en) * | 2019-07-12 | 2021-01-12 | 上海唯链信息科技有限公司 | Carbon emission reduction data processing method, apparatus, and computer-readable storage medium |
CN114626570B (en) * | 2021-12-07 | 2024-06-07 | 国网天津市电力公司 | Electric power carbon emission track analysis method and device |
CN115062872B (en) * | 2022-08-11 | 2022-11-08 | 国网(宁波)综合能源服务有限公司 | Industry energy consumption prediction method and prediction system based on electric power big data |
-
2022
- 2022-10-20 CN CN202211282980.XA patent/CN115345532B/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN115345532A (en) | 2022-11-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN115345532B (en) | Carbon emission management platform and method for intelligent group control electric heating system | |
CN116646933B (en) | Big data-based power load scheduling method and system | |
CN102426674B (en) | Power system load prediction method based on Markov chain | |
CN102509173B (en) | A kind of based on markovian power system load Accurate Prediction method | |
Kodaira et al. | Optimal energy storage system operation for peak reduction in a distribution network using a prediction interval | |
CN106779129A (en) | A kind of Short-Term Load Forecasting Method for considering meteorologic factor | |
Macedo et al. | Typification of load curves for DSM in Brazil for a smart grid environment | |
CN105956752A (en) | Energy efficiency evaluation and diagnosis analysis method used for green public building operation phase | |
CN110198042B (en) | Dynamic optimization method for power grid energy storage and storage medium | |
CN110033134A (en) | A kind of short-term load forecasting algorithm of segmentation day by day considering meteorologic factor | |
CN106410781A (en) | Power consumer demand response potential determination method | |
CN102531121A (en) | Optimum input forecast system of water treatment coagulant and forecast method | |
Capizzi et al. | An advanced neural network based solution to enforce dispatch continuity in smart grids | |
CN106600145A (en) | Power distribution network reliability analysis method and device | |
CN110880055A (en) | Building intelligent ammeter system | |
CN115829134A (en) | Power supply scheduling method and system oriented to source network load uncertainty | |
Triolo et al. | Estimating cooling demand flexibility in a district energy system using temperature set point changes from selected buildings | |
CN117495056A (en) | Power consumption data monitoring and optimizing method and system | |
CN111968008B (en) | Comprehensive energy monitoring system and method based on multi-energy cooperation | |
CN109741213A (en) | Zero-energy-consumption building energy consumption control method and system | |
CN117495172A (en) | Logistics park carbon footprint management method and system | |
CN117091242A (en) | Evaluation method, temperature setting method and system for air conditioner temperature control load cluster | |
CN114881463B (en) | Intelligent energy management method and system based on Internet of things | |
Wen et al. | Short-term load forecasting with bidirectional LSTM-attention based on the sparrow search optimisation algorithm | |
CN115660500A (en) | New energy power generation project power abandoning rate evaluation method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |