The large-scale use of renewable energy poses new challenges, due to daily and yearly fluctuations in the weather. Energy network operators use computer models to help them select the best combination of financial and practical measures to tackle these challenges. The goal of this study is to improve these models. For instance, processes in the areas of climate, weather, energy production and energy demand will be collectively analysed through the use of Big Data analysis techniques. This will make it possible to estimate the requirements for a reliable electricity supply under future weather conditions while also making allowance for new trends, such as the electrification of transport and heating.