Dan Stowell

Probabilistic Residual Load Modelling with Spatio-Temporal Graph Neural Networks and Mondrian Conformal Calibration

Accurate probabilistic load forecasting (PLF) is critical for grid security under increasing renewable-driven volatility. However, achieving both computational efficiency and well-calibrated nodal uncertainty remains challenging for spatio-temporal PLF models. This paper introduces a lightweight hybrid framework that m...