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An effective hybrid wind power forecasting model based on "decomposition-reconstruction-ensemble" strategy and wind resource matching

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成果类型:
期刊论文
作者:
Xiao, Yi;Wu, Sheng;He, Chen;Hu, Yi;Yi, Ming
通讯作者:
Xiao, Y
作者机构:
[Xiao, Yi; Yi, Ming; Wu, Sheng; He, Chen] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
[Hu, Yi] Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China.
通讯机构:
[Xiao, Y ] C
Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Wind power forecasting;Sample entropy;Decomposition -reconstruction -ensemble;strategy;Variational modal decomposition;Temporal convolutional network
期刊:
Sustainable Energy, Grids and Networks
ISSN:
2352-4677
年:
2024
卷:
38
页码:
101293
基金类别:
CRediT authorship contribution statement He Chen: Methodology, Validation, Visualization, Writing – review & editing. Xiao Yi: Conceptualization, acquisition, Methodology, Project administration, Resources, Software. Wu Sheng: Data curation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing. Hu Yi: Methodology, Project administration, Validation. Yi Ming: Conceptualization, Formal analysis, Visualization.
机构署名:
本校为第一且通讯机构
院系归属:
信息管理学院
摘要:
The random and fluctuating nature of wind energy brings tremendous challenges and disturbances to the security operation of wind power systems, accurate wind power prediction can effectively reduce these negative impacts. To this end, this paper proposes a hybrid wind power prediction model based on the "decomposition-reconstruction-ensemble" strategy, which consists of four main components, namely decomposition, reconstruction, prediction, and ensemble. Specifically, the original wind power series is decomposed into several sub-modes and reconstructed by frequency by the sample entropy(SE)-op...

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