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Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data
Regional solar power forecasting, which involves predicting the total power generation from all rooftop photovoltaic systems in a region holds significant importance for various stakeholders in the energy sector. However, the vast amount of solar power generation and weather time series from geographically dispersed locations that need to be considered …