Overview
In this project, the uncertainties in forecasting the energy consumption of buildings are to be countered with user interactions and a self-learning ML-algorithm. The system forecasts can be adapted by the user to his actual planning and validated immediately in a real-time simulation with regard to energy efficiency and comfort requirements. The self-learning mechanism ensures that the system continuously adapts and optimizes itself to the specific conditions.
