Hybrid FMD-TCN-BiLSTM-ECA network for enhanced offshore wind power prediction and grid stability

Accurate offshore wind power prediction is vital for grid stability and energy optimization, yet its nonlinearity and volatility challenge forecasting accuracy. This study introduces a novel hybrid network, FMD-TCN-BiLSTM-ECA, to enhance offshore wind power prediction. Feature Mode Decomposition (FM...

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Autori principali:	Anping Wan, Shuai Peng, Khalil AL-Bukhaiti, Xiaomin Cheng, Xiaosheng Ji, Yunsong Ji, Shidong Ma
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2025-06-01
Serie:	Wind Energy and Engineering Research
Soggetti:	Offshore wind power prediction Hybrid AI model FMD-TCN-BiLSTM-ECA Feature mode decomposition (FMD) Efficient channel attention (ECA) Power grid stability
Accesso online:	http://www.sciencedirect.com/science/article/pii/S295036042500004X
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