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Research on enhancing short-term wind power forecasting through feature fusion in a hybrid deep learning framework

Published Online: 2026-02-20

Authors

Su, Xianlong

Gao, Jinming

Han, Kai

Kim, Hankil

Jung, Hoekyung
Funding

Funding for this research was provided by:

Institute of Information & Communications Technology Planning & Evaluation(IITP)-Innovative Human Resource Development for Local Intellectualization program grant funded by the Korea Governmen (IITP-2026-RS-2022-00156334)
License Information

Text and Data Mining valid from 2026-02-20

Version of Record valid from 2026-03-26
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Article History

Received: 14 April 2025

Accepted: 16 February 2026

First Online: 20 February 2026

Declarations

:

: The authors declare no competing interests.

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