CN110363338B - 基于cos衰减性原子分解和混沌理论的风电功率超短期预测方法 - Google Patents
基于cos衰减性原子分解和混沌理论的风电功率超短期预测方法 Download PDFInfo
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- 238000005291 chaos (dynamical) Methods 0.000 title claims abstract description 20
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- 230000002238 attenuated effect Effects 0.000 title claims description 13
- 238000004088 simulation Methods 0.000 claims abstract description 10
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CN110991725B (zh) * | 2019-11-27 | 2022-03-18 | 东北电力大学 | 一种基于风速分频和权值匹配的rbf超短期风电功率预测方法 |
CN111489038B (zh) * | 2020-04-14 | 2022-09-30 | 北京天润新能投资有限公司 | 一种提升风电场超短期功率预测准确率的方法 |
Citations (5)
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US7813822B1 (en) * | 2000-10-05 | 2010-10-12 | Hoffberg Steven M | Intelligent electronic appliance system and method |
CN105184411A (zh) * | 2015-09-19 | 2015-12-23 | 东北电力大学 | 一种基于最大Lyapunov指数-校正的风电功率实时预测方法 |
CN105335796A (zh) * | 2015-11-02 | 2016-02-17 | 华北电力大学 | 一种风电场输出功率爬坡事件预测的系统及方法 |
CN106291475A (zh) * | 2016-07-20 | 2017-01-04 | 南京御达电信息技术有限公司 | 一种用于雷达波形设计优化方法 |
CN109787295A (zh) * | 2019-02-26 | 2019-05-21 | 东北电力大学 | 一种计及风电场状态的风电功率超短期预测计算方法 |
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US6787730B2 (en) * | 1998-07-09 | 2004-09-07 | Damian Coccio | Device for plasma incision of matter with a specifically tuned radiofrequency electromagnetic field generator |
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US7813822B1 (en) * | 2000-10-05 | 2010-10-12 | Hoffberg Steven M | Intelligent electronic appliance system and method |
CN105184411A (zh) * | 2015-09-19 | 2015-12-23 | 东北电力大学 | 一种基于最大Lyapunov指数-校正的风电功率实时预测方法 |
CN105335796A (zh) * | 2015-11-02 | 2016-02-17 | 华北电力大学 | 一种风电场输出功率爬坡事件预测的系统及方法 |
CN106291475A (zh) * | 2016-07-20 | 2017-01-04 | 南京御达电信息技术有限公司 | 一种用于雷达波形设计优化方法 |
CN109787295A (zh) * | 2019-02-26 | 2019-05-21 | 东北电力大学 | 一种计及风电场状态的风电功率超短期预测计算方法 |
Non-Patent Citations (4)
Title |
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The Ultral-short Term Prediction of Wind Power Based on Chaotic Time Series;Yan Gangui et al.;《Energy Procedia》;20121231;第17卷;第1490-1496页 * |
Ultral-Short-Term Multistep Wind Power Prediction Based on Improved EMD and Reconstruction Method Using Run-Length Analysis;Mao Yang et al.;《IEEE Access》;20180607;第6卷;第31908-31917页 * |
基于概率分布量化指标和灰色关联决策的风电功率实时预测研究;杨茂 等;《中国电机工程学报》;20170825;第37卷(第24期);第7099-7017页 * |
基于稀疏编码的短期风电功率时间序列预测;李军 等;《电力系统保护与控制》;20180627;第46卷(第12期);第16-23页 * |
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