CN112418533A - 一种清洁能源电量分解预测方法 - Google Patents
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Abstract
Description
时间 | 日最高清洁能源电量 |
0101 | 5212.24 |
0102 | 5786.46 |
0103 | 6440.54 |
0104 | 6828.80 |
0105 | 7143.77 |
0106 | 7257.46 |
0107 | 7289.65 |
0108 | 7255.56 |
0109 | 7298.15 |
0110 | 6953.14 |
时间 | 日平均清洁能源电量 |
20170101 | 5027.60 |
20170102 | 5579.83 |
20170103 | 6248.74 |
20170104 | 6543.81 |
20170105 | 6936.57 |
20170106 | 7045.09 |
20170107 | 7139.05 |
20170108 | 7112.50 |
20170109 | 7086.67 |
20170110 | 6805.47 |
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Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN204166328U (zh) * | 2014-10-28 | 2015-02-18 | 天津大学 | 办公用能的预测和报警控制*** |
CN106295915A (zh) * | 2016-10-10 | 2017-01-04 | 西安理工大学 | 具有最大容量准则约束的含清洁能源电网优化调度方法 |
WO2018059096A1 (zh) * | 2016-09-30 | 2018-04-05 | 国电南瑞科技股份有限公司 | 一种多类电源发电计划组合决策方法及存储介质 |
CN108090563A (zh) * | 2017-12-15 | 2018-05-29 | 烟台港股份有限公司 | 一种基于bp神经网络的电能量预测方法 |
CN108596242A (zh) * | 2018-04-20 | 2018-09-28 | 浙江大学 | 基于小波神经网络和支持向量机的电网气象负荷预测方法 |
CN108615091A (zh) * | 2018-04-20 | 2018-10-02 | 浙江大学 | 基于聚类筛选和神经网络的电力气象负荷数据预测方法 |
JP6570724B1 (ja) * | 2018-12-09 | 2019-09-04 | グリーンパワー株式会社 | 再生可能エネルギー由来電力の取引方法、及び取引システム |
CN110298475A (zh) * | 2019-05-10 | 2019-10-01 | 华北电力大学 | 一种基于序列成分分解与神经网络的中期电量预测方法 |
CN110348517A (zh) * | 2019-07-11 | 2019-10-18 | 四川长虹电器股份有限公司 | 一种基于大数据的清洁能源供暖***报警分类预测方法 |
-
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- 2020-11-25 CN CN202011343594.8A patent/CN112418533A/zh active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN204166328U (zh) * | 2014-10-28 | 2015-02-18 | 天津大学 | 办公用能的预测和报警控制*** |
WO2018059096A1 (zh) * | 2016-09-30 | 2018-04-05 | 国电南瑞科技股份有限公司 | 一种多类电源发电计划组合决策方法及存储介质 |
CN106295915A (zh) * | 2016-10-10 | 2017-01-04 | 西安理工大学 | 具有最大容量准则约束的含清洁能源电网优化调度方法 |
CN108090563A (zh) * | 2017-12-15 | 2018-05-29 | 烟台港股份有限公司 | 一种基于bp神经网络的电能量预测方法 |
CN108596242A (zh) * | 2018-04-20 | 2018-09-28 | 浙江大学 | 基于小波神经网络和支持向量机的电网气象负荷预测方法 |
CN108615091A (zh) * | 2018-04-20 | 2018-10-02 | 浙江大学 | 基于聚类筛选和神经网络的电力气象负荷数据预测方法 |
JP6570724B1 (ja) * | 2018-12-09 | 2019-09-04 | グリーンパワー株式会社 | 再生可能エネルギー由来電力の取引方法、及び取引システム |
CN110298475A (zh) * | 2019-05-10 | 2019-10-01 | 华北电力大学 | 一种基于序列成分分解与神经网络的中期电量预测方法 |
CN110348517A (zh) * | 2019-07-11 | 2019-10-18 | 四川长虹电器股份有限公司 | 一种基于大数据的清洁能源供暖***报警分类预测方法 |
Non-Patent Citations (7)
Title |
---|
ZHANG, CH: ""Wind Speed Prediction Research Based on Time Series Model with Residual Correction"", 《PROCEEDINGS OF 2017 2ND INTERNATIONAL CONFERENCE ON POWER AND RENEWABLE ENERGY》, 23 September 2017 (2017-09-23), pages 466 - 470, XP033360878, DOI: 10.1109/ICPRE.2017.8390579 * |
丁磊明;杨晓雷;黄金波;姚剑峰;: "基于BP神经网络优化的改进灰色模型在电量预测中的应用", 机电信息, no. 36, 31 December 2019 (2019-12-31), pages 36 - 39 * |
卫鹏杰;: "电网统配用电负荷受清洁能源发电出力波动性影响的算法研究", 山西电力, no. 03, 30 June 2020 (2020-06-30), pages 13 - 17 * |
方梓涵;张焕明;朱家明;: "基于组合预测的能源优化", 赤峰学院学报(自然科学版), no. 05, 25 May 2018 (2018-05-25), pages 1 - 3 * |
杨冬强: ""风力发电短期功率预测研究"", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》, no. 02, 15 February 2017 (2017-02-15), pages 042 - 922 * |
田波;朴在林;王慧;: "基于时间序列建模在风力发电功率短期预测中的研究", 《电网与清洁能源》, vol. 32, no. 03, 25 March 2016 (2016-03-25), pages 115 - 126 * |
薛阳;张宁;吴海东;俞志程;李蕊;: "基于UTCI-MIC与振幅压缩灰色模型的用户侧微电网短期负荷预测方法", 电网技术, vol. 44, no. 02, 29 February 2020 (2020-02-29), pages 556 - 563 * |
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