About the lecture
Our energy systems are undergoing rapid changes, facing new sources of uncertainty, complex dynamic phenomena, and an increasing degree of decentralization. Consumers are taking more control of their own energy generation and storage, becoming active prosumers, while new types of (often automated) market-based interactions are emerging among parties in the energy system. This raises the question of how we can design and operate decentralized energy systems to ensure stability, system-wide efficiency, and fairness when participating parties are autonomous agents whose actions the system designer does not directly control.
In this talk, Valentin Robu will show how techniques from multi-agent systems and decentralized AI—including algorithmic game theory and machine learning—can help manage our energy systems. He will present examples based on previous work from his research group and provide an outlook on future research developments in the field.
More information
If you want to attend the inaugural lecture, you can download the invitation here. Additional information can be found on the website of TU/e.
