We collaborated with an interdisciplinary team on a project initiated by the Fraunhofer Institute, focusing on addressing the challenges posed by seasonal variations in power production (solar/wind) and heat demand (cold winters, warm summers). The goal was to improve the models performance by reducing the amount of data fed to it and still achive competitive results. For this we modelled the situation mathematically and evaluated existing data compression techniques as well as developed own methods to enable researchers a faster evaluation of their projects.