Réseaux de neurones graphiques pour le routage d’énergie dans les réseaux électriques intelligents

This project aims to make power grids smarter and more efficient by using a type of artificial intelligence called Graph Neural Networks along with Deep Reinforcement Learning. Just like a GPS finds the best route for a car, our system will find the optimal paths for electricity to travel, especially from clean but unpredictable sources like solar and wind. This will help reduce energy waste, lower costs, and make the power supply more reliable for everyone. For the participating institutions, this collaboration creates a powerful link between Canadian and Algerian researchers, combining their expertise to produce cutting-edge research, train highly skilled students, and strengthen their global reputation as leaders in artificial intelligence and sustainable energy technology.

Faculty Supervisor:

Khadidja Henni

Student:

Partner:

École nationale supérieure d'informatique

Discipline:

Computer science

Sector:

Sustainability and the Environment; Energy and Utilities; Green/Alternative Energy

University:

Université TÉLUQ

Program: