Short-Term Photovoltaic Power Forecasting Based on CNN–LSTM–Attention Mechanism

Accurate short-term photovoltaic (PV) power forecasting is crucial for maintaining grid stability. However, existing hybrid deep learning models suffer from inherent limitations owing to static feature-weighting mechanisms, often displaying significant phase lag and peak clipping under severe meteor...

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Hlavní autoři:	Mingze Lei, Tao Chen, Yao Xiao, Caixia Yang, Worawat Sa-Ngiamvibool, Supannika Wattana, Buncha Wattana
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-04-01
Edice:	Energies
Témata:	PV power forecasting CNN-LSTM SE-based attention phase lag reduction leptokurtic error distribution
On-line přístup:	https://www.mdpi.com/1996-1073/19/7/1747
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