A probabilistic wind power forecasting model considering power error correlation

A probabilistic wind power forecasting model considering power error correlation

New energy sources， such as wind power， are characterized by volatility and intermittency， leading to significant uncertainty in wind power output and errors in power forecasting. To accurately capture the differentiated distribution of power forecasting errors， a copula-based probabilistic wind pow...

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Bibliographic Details
Main Authors:	CHEN Wenjin, WANG Xiaozhong, ZHANG Si, GAN Wen, SHEN Chengliang, GU Weikang, QIU Jian
Format:	Article
Language:	zho
Published:	zhejiang electric power 2025-07-01
Series:	Zhejiang dianli
Subjects:	wind power prompt learning correlation copula probabilistic power forecasting
Online Access:	https://zjdl.cbpt.cnki.net/portal/journal/portal/client/paper/ecb4bb7f99044e00ec1d3a3bba59f9a4
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