ASIMUTE

As part of the INTERREG research project ASIMUTE (“Autoconsommation et Stockage Intelligents pour une Meilleure Utilisation de l'Énergie”), the ISS Research Institute at Furtwangen University is developing innovative approaches to optimise energy consumption in buildings. The targeted use of artificial intelligence (AI) and non-intrusive load monitoring (NILM) is intended to significantly increase the efficiency of photovoltaic systems in combination with heat pumps.

The research work at Furtwangen University focuses on the precise forecasting of electrical energy requirements at appliance level. Electricity-based NILM algorithms are used to identify and predict the consumption of individual household appliances without the need for additional sensors. This detailed analysis enables intelligent control of heat pumps and other consumers in order to maximise the use of locally generated solar power.

ASIMUTE thus makes a significant contribution to reducing the load on the electricity grids, increasing self-consumption and sustainable energy use in the building sector. Further information can be found on the joint project website: External link opens in a new window:https://www.asimute.uha.fr/en/.