Solar Photovoltaic Generation Forecasting: A Review of Artificial Intelligence Approaches
The technical synthesis finds that classical machine learning remains competitive for day-ahead forecasting with well-structured numerical weather prediction inputs, that convolutional neural network–long short-term memory (CNN-LSTM) hybrids dominate the deep-learning literature, and that graph-based and transformer ar...
František Kurimský, Kamil Ševc, Marek Pavlík
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