Abstract: Accurate mid-term load forecasting at the building level is vital for the strategic planning, operation, and sustainability of modern power systems. Machine learning approaches often require ...

Abstract: Traditional electrical load forecasting often relies on macro approaches to analyzing historical data (time series) and energy consumption patterns (sectoral), which do not account for ...