An explainable multi-feature dimensionality reduction framework: Considering trend inconsistency in wind power sample

Offshore wind power prediction is significantly challenged by data quality issues arising from various factors such as environmental conditions and measurement errors, which severely compromise prediction accuracy and stability. This paper reveals a previously overlooked phenomenon in offshore wind...

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Veröffentlicht in:	Energy (Oxford) Jg. 336; S. 138466
Hauptverfasser:	Meng, Anbo, Liu, Honghui, Xiao, Liexi, Tan, Zhenglin, Huang, Ziqian, Zhang, Qi, Yan, Baiping, Yin, Hao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.11.2025
Schlagworte:	Abnormal data Differential compensation dimensionality reduction Dimensionality reduction Offshore wind power prediction Sample trend inconsistency Dimensionality reduction Sample trend inconsistency Differential compensation dimensionality reduction Abnormal data Offshore wind power prediction
ISSN:	0360-5442
Online-Zugang:	Volltext
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