Our software consists of several predictive components that, together with a control algorithm, operate in a steering manner to minimize energy costs. The algorithm can take into account expected consumption patterns, storage capabilities, local production capacity, weather conditions, fluctuations in electricity prices (both Day-Ahead and imbalance), imposed operating conditions, etc.


















