Short-term electricity load forecasting is a critical factor in optimizing power systems, minimizing operating costs …, and securing reliable energy resources. There are various approaches for short-term electricity load forecasting, but … model to improve load forecasting accuracy. The model combines the strengths of various deep learning architectures such as …

Accurate load forecasting is essential for power-sector planning and management. This applies during normal situations …, traffic data could improve load forecasting where information on historical load is not available. Another benefit of using …

Purpose The purpose of this study is to propose a systematic model selection procedure for long-term load forecasting …