Adaptive Training for Heat Demand Prediction of District Heating Network

In this thesis, we focus on short-term heat demand forecasting based on measured consumer demand. The thesis also studies approaches from Continual Learning, for developing an adaptive forecasting framework to deploy at the energy supplier to optimize supply and demand.