Our researchers from the Intelligent Maintenance and Operations Systems Laboratory, in partnership with SBB, have made significant strides in predicting electricity demand for the Swiss rail network. Under the guidance of Prof. Olga Fink and PhD student Raffael Pascal Theiler, they've developed an AI model that leverages historical data and planned future operations, reducing major prediction errors by a staggering 80% on unusual days, and average errors by 26.6%. https://actu.epfl.ch/news/using-future-data-to-better-predict-switzerland-s/#