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Net Load Forecasting with Renewable Capacity Features: A Comparison of Direct and Indirect Neural Network Methods
Renewable energy adoption has increased significantly in recent years. However, the growing penetration of renewable generation that depends on the weather introduces additional variability, making accurate net load forecasting increasingly challenging. In this study, long short-term memory (LSTM) a
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