Author

Cheng He

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Open access Jul 2026

Deep Learning for Solar Power Forecasting by Integrating Historical and Meteorological Data

An optimized forecasting framework using Long Short-Term Memory (LSTM) networks is introduced, confirming the model’s excellent accuracy and its value for improving power system dispatch and resource planning.

Cheng He, Siyuan Zhao, Zhenshuo Guo et al. · Energies · 0 citations