New proposal “Multi-agent Reinforcement Learning with Graph Neural Network for Maintenance-Scheduling of Generation Units in Power Grids” has been approved
Our proposal entitled with “Multi-agent Reinforcement Learning with Graph Neural Network for Maintenance-Scheduling of Generation Units in Power Grids” has been approved and financed by the Hasler Foundation.
The Project which has been approved and financed by Hasler Foundation aims to increase the reliability of power grid system by designing the multi-agent decision-making framework to obtain the predictive maintenance scheduling of generation units.
The Chair of Intelligent Maintenance Systems focuses on developing intelligent algorithms to improve performance, reliability and availability of complex industrial assets and making the maintenance more cost efficient. For more information visit our webpage