Adding attention modules to a ConvLSTM cloud forecasting model improves downstream hour-ahead solar power forecast skill scores, especially for high altitude clouds.
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Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction
Adding attention modules to a ConvLSTM cloud forecasting model improves downstream hour-ahead solar power forecast skill scores, especially for high altitude clouds.