Abstract: The energy system is changing rapidly as renewables are adopted by customers. How can Alliander, which operates over 40.000 kilometers of electricity cables, cope with the vastly increased network peak load? To model these phenomena the data scientists at Alliander used an array of methods: machine learning for estimating spatial adoption of renewables, high performance computation and optimization for grid design and neural network for time series prediction.