power grid

We applied structured state space models to probabilistic day-ahead power forecasting in the medium-voltage grid, validated on 10 years of measurements from 312 substations across the Dutch electrical grid. Our approach outperformed traditional machine learning methods while providing grid operators with reliable uncertainty quantification.