IEEE

Mid-Term Load Forecasting with Minimal Data: An In-Context-Learning-Aware Approach Using Large Language Models

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 ...
IEEE

Short-Term Load Forecasting Method with Dynamic Response to Time-of-Use Electricity Pricing

Abstract: In the context of the steady development of modern power systems, short-term load forecasting is crucial to the planning and operation of the power grid. Traditional load forecasting methods ...