A Novel Multi-Scale Feature Attention Network-Based Prediction Model for the Accurate Forecasting of Photovoltaic Power Generation

The global rise in energy demand has driven the large-scale integration of photovoltaic systems into the power grids, increasing the need for accurate forecasting models to manage solar energy variability and uncertainty. This study proposes a novel 24-hour-ahead PV power generation prediction model...

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