CN111242359A - 一种基于数据漂移的太阳辐射在线动态预测方法 - Google Patents
一种基于数据漂移的太阳辐射在线动态预测方法 Download PDFInfo
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- CN111242359A CN111242359A CN202010011980.0A CN202010011980A CN111242359A CN 111242359 A CN111242359 A CN 111242359A CN 202010011980 A CN202010011980 A CN 202010011980A CN 111242359 A CN111242359 A CN 111242359A
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Abstract
Description
方法 | 相对绝对平均误差(%) | 相对均方根误差(%) |
持续模型 | 20.94 | 31.10 |
AR线性模型 | 19.07 | 30.12 |
ANN非线性模型 | 18.21 | 29.23 |
本发明的方法 | 16.47 | 26.67 |
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CN111242359A true CN111242359A (zh) | 2020-06-05 |
CN111242359B CN111242359B (zh) | 2020-09-29 |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP4131698A1 (en) * | 2021-08-04 | 2023-02-08 | Toyota Jidosha Kabushiki Kaisha | Power management system, power management server, and power management method |
Citations (6)
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---|---|---|---|---|
US20120191351A1 (en) * | 2007-02-12 | 2012-07-26 | Locus Energy, Llc | Estimating solar irradiance components from plane of array irradiance and global horizontal irradiance |
CN103955749A (zh) * | 2014-03-19 | 2014-07-30 | 内蒙古电力勘测设计院 | 太阳直接辐射值预测方法和*** |
CN105447509A (zh) * | 2015-11-10 | 2016-03-30 | 天津大学 | 一种光伏发电***的短期功率预测方法 |
CN106503833A (zh) * | 2016-09-30 | 2017-03-15 | 天津大学 | 基于支持向量机算法的光伏发电短期功率滚动预测方法 |
CN106815659A (zh) * | 2017-01-20 | 2017-06-09 | 国网浙江省电力公司电力科学研究院 | 一种基于混合模型的超短期太阳辐射预测方法及其装置 |
CN108268961A (zh) * | 2016-12-30 | 2018-07-10 | 中国电力科学研究院 | 一种基于天气类型的太阳辐射超短期预测方法 |
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2020
- 2020-01-06 CN CN202010011980.0A patent/CN111242359B/zh active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120191351A1 (en) * | 2007-02-12 | 2012-07-26 | Locus Energy, Llc | Estimating solar irradiance components from plane of array irradiance and global horizontal irradiance |
CN103955749A (zh) * | 2014-03-19 | 2014-07-30 | 内蒙古电力勘测设计院 | 太阳直接辐射值预测方法和*** |
CN105447509A (zh) * | 2015-11-10 | 2016-03-30 | 天津大学 | 一种光伏发电***的短期功率预测方法 |
CN106503833A (zh) * | 2016-09-30 | 2017-03-15 | 天津大学 | 基于支持向量机算法的光伏发电短期功率滚动预测方法 |
CN108268961A (zh) * | 2016-12-30 | 2018-07-10 | 中国电力科学研究院 | 一种基于天气类型的太阳辐射超短期预测方法 |
CN106815659A (zh) * | 2017-01-20 | 2017-06-09 | 国网浙江省电力公司电力科学研究院 | 一种基于混合模型的超短期太阳辐射预测方法及其装置 |
Non-Patent Citations (3)
Title |
---|
XIAO WANG等: "Prediction of Direct Normal Irradiance using a Novel Multi-model Algorithm", 《2018 CHINESE AUTOMATION CONGRESS》 * |
YU SHEN等: "A Tree-based Clear Sky Model for DNI Forecasting", 《2018 CHINESE CONTROL AND DECISION CONFERENCE》 * |
周海等: "超短期太阳辐照度多模型预测", 《中国科技论文》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP4131698A1 (en) * | 2021-08-04 | 2023-02-08 | Toyota Jidosha Kabushiki Kaisha | Power management system, power management server, and power management method |
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Application publication date: 20200605 Assignee: Nanjing Ruiyan Intelligent Technology Co.,Ltd. Assignor: NANJING FORESTRY University Contract record no.: X2020320000387 Denomination of invention: An online dynamic prediction method of solar radiation based on data drift Granted publication date: 20200929 License type: Common License Record date: 20201218 Application publication date: 20200605 Assignee: NANJING FANGXINGWEIAI AGRICULTURAL TECHNOLOGY Co.,Ltd. Assignor: NANJING FORESTRY University Contract record no.: X2020320000377 Denomination of invention: An online dynamic prediction method of solar radiation based on data drift Granted publication date: 20200929 License type: Common License Record date: 20201218 |