Stabilizing weak grids through machine learning

Empowering farmers in end-of-line communities in North Africa through artificial neural networks

SWITCH aims at developing an innovative and holistic solution to stabilize weak grids security of supply in rural ‘end-of-line’ communities in North Africa.

Why Stabilizing Grids in North Africa?

North Africa’s electricity grids face critical challenges with rising demands and unstable supply. Weak grids, particularly in rural farming communities, suffer from outages and rely on unsustainable fuels. The SWITCH project introduces a science-based solution with smart renewable energy systems and AI-driven tools to ensure reliable energy access, addressing community-level needs and local conditions.

Our Vision

SWITCH envisions a future where ‘end-of-line’ communities in Morocco and Algeria no longer face frequent power outages. By integrating smart renewable energy systems, AI-driven prediction methods, and optimal Agri-PV solutions, we aim to empower local communities, create sustainable energy sources, and enhance economic opportunities.

Project objectives

Concrete Actions for Change

The SWITCH team will employ innovative approaches, including an AI-driven decision support tool, to predict outages, solar power availability, and local demand. Through the integration of Agri-PV, we seek to create autonomous, decentralized energy supply systems that support weak grids during regular operation and provide power during outages.

Expected Impact

SWITCH aims to be a catalyst for change, fostering economic empowerment, reducing power outages, and promoting sustainable energy practices. Our short- to medium-term impacts include deploying AI-driven tools and Agri-PV solutions in pilot communities. In the long run, we aspire to see our solutions adopted regionally, stabilizing grids in North Africa and contributing to global improvements in electricity reliability.

Latest News

Official Kick-Off of SWITCH

Project Partners

Team Members

Prof. Wilfried Zörner

Project Lead

Technische Hochschule Ingolstadt (THI), Germany

Prof. Driss Yousfi

University Mohammed Premier (UMP), Morocco​

Prof. Esamil Ahouzi

Institut National des Postes et Télécommunications (INPT), Morocco

Mr. Johannes Baumann

Women engage for a common future (WECF), Germany

Prof. Ahmed Khallaayoun

Al Akhawayn University in Ifrane (AUI), Morocco​

Prof. Messaoud Hamouda

University of Adrar (UA), Algeria​

Prof. Driss Nehari

University Ain Temouchent (UAT), Algeria

Dr. Alireza Karimy

AI Town S.R.L. (AIT), Italy​

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