A Trustworthy Decision Support System for Energy Management at Umeå Energi

Purpose and goal

The project aims to develop and implement an ethical AI-based decision support system (DSS) to predict boiler leaks in combined heat and power plants, complianct with the EU AI Act for high-risk AI applications in energy supply. It builds on previously validated prediction models and enhances them with advanced AI algorithms to improve prediction accuracy, thereby reducing the negative impacts of unplanned downtime.

Expected effects and result

By integrating advanced AI algorithms, the project aims to significantly improve prediction accuracy, thereby creating the conditions to reduce the negative impacts of unplanned outages. The goal is to develop a robust and reliable decision support system that not only enhances operational safety in combined heat and power plants, but also meets the regulatory requirements imposed on AI systems in critical societal sectors—thus ensuring an ethically sound and trustworthy solution.

Planned approach and implementation

The project will employ agile development to enable iterative design and testing of the AI-based DSS. Teams from Umeå Energi and Umeå University will coordinate with stakeholders at production sites. The research group at Umeå University will apply agile design increments based on co-creation methods and the introduction of both EU’s Trustworthy AI guidelines and AI regulatory frameworks.