Deterministic and probabilistic interval prediction for short-term wind power generation based on variational mode decomposition and machine learning methods | |
Zhang, Yachao; Liu, Kaipei; Qin, Liang; An, Xueli | |
刊名 | ENERGY CONVERSION AND MANAGEMENT
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2016 | |
卷号 | 112 |
关键词 | Wind power Variational mode decomposition Combined forecasting model Self-adaptive multi-strategy differential evolution Probabilistic interval prediction Quantile regression averaging |
ISSN号 | 0196-8904 |
DOI | 10.1016/j.enconman.2016.01.023 |
URL标识 | 查看原文 |
收录类别 | SCIE ; ESI高被引论文 |
语种 | 英语 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/4091414 |
专题 | 武汉大学 |
推荐引用方式 GB/T 7714 | Zhang, Yachao,Liu, Kaipei,Qin, Liang,et al. Deterministic and probabilistic interval prediction for short-term wind power generation based on variational mode decomposition and machine learning methods[J]. ENERGY CONVERSION AND MANAGEMENT,2016,112. |
APA | Zhang, Yachao,Liu, Kaipei,Qin, Liang,&An, Xueli.(2016).Deterministic and probabilistic interval prediction for short-term wind power generation based on variational mode decomposition and machine learning methods.ENERGY CONVERSION AND MANAGEMENT,112. |
MLA | Zhang, Yachao,et al."Deterministic and probabilistic interval prediction for short-term wind power generation based on variational mode decomposition and machine learning methods".ENERGY CONVERSION AND MANAGEMENT 112(2016). |
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