А. М. Князев

A Comparative Study of Machine Learning, Deep Learning, and Foundation Models for Short-Term Electricity Load Forecasting

Short-term electricity load forecasting is a key task for smart-grid operation, industrial energy management, and predictive planning. This paper presents a reproducible comparative study of classical, machine-learning, deep-learning, and foundation-model approaches for hourly load forecasting. The benchmark includes S...