Project

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.

Details

Status:

  • active

Supported by BayFOR:

  • inactive

Research Focus:

  • Digitalisation / ICT / AI , 
  • Education / Skills / Capacity Building , 
  • Energy , 
  • Gender / Diversity , 
  • Social Sciences , 
  • Technology

Project Coordination:

THI – Technische Hochschule Ingolstadt
(THI)

Project Partner:

Al Akhawayn University
(AUI)
National Institute of Post and Telecommunications
(INPT)
Université Mohammed Premier Oujda
University of Adrar
University of Ain Temouchent (Belhadj Bouchaib)
Women Engage for a Common Future e.V. Germany
(WECF)

Countries:

Germany (Bavaria), Algeria, Morocco

Funding Agency:

European Union (EU), German Federal Ministry of Education and Research (BMBF)

Funding Type:

H2020

Duration:

01/07/2023
- 30/06/2025

Budget:

EUR
649992

URL: