SWITCH – Stabilizing weak grids through machine learning
Empowering farmers in end-of-line communities in North Africa through artificial neural networks
For several decades, rising global demand for electricity has been a concern as it exceeds the existing capacities for generation and transmission. North Africa is one of the regions where power grids face critical technical and economic challenges.
The interdisciplinary team of the SWITCH project will investigate how to improve power supply in the "end-of-line" communities in Morocco (MAR) and Algeria (DZ), which frequently suffer from power outages. They will do so by integrating smart renewable energy systems, AI-based forecasting methods, and optimal agri-PV (agricultural photovoltaic) solutions for local islanding.
Digitalisation / ICT / AI
Education / Skills / Capacity Building
Gender / Diversity
THI – Technische Hochschule Ingolstadt
Al Akhawayn University
National Institute of Post and Telecommunications
Université Mohammed Premier Oujda
University of Adrar
University of Ain Temouchent (Belhadj Bouchaib)
Women Engage for a Common Future e.V. Germany
Germany (Bavaria), Algeria, Morocco
European Union (EU), German Federal Ministry of Education and Research (BMBF)