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Zilin He

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Open access Jul 2026

Ultra-Short-Term Wind Power Forecasting Using a Two-Stage Signal Decomposition and iTransformer-LSTM-KAN Hybrid Framework

An ultra-short-term wind power forecasting model based on a two-stage signal decomposition and a hybrid architecture combining iTransformer, LSTM, and KAN that achieves clear improvements in forecasting accuracy and fitting capability is proposed.

Zilin He, Zhiqi Gao, Huan Feng et al. · 0 citations