Indirect LSTM outperformed direct and indirect FCNN approaches for net load forecasting when renewable capacity is included as a feature.
Diagnosis-Driven Co- planning of Network Reinforcement and BESS for Distribution Grid with High Penetration of Electric Vehicles
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Net Load Forecasting Using Machine Learning with Growing Renewable Power Capacity Features: A Comparative Study of Direct and Indirect Methods
Indirect LSTM outperformed direct and indirect FCNN approaches for net load forecasting when renewable capacity is included as a feature.