Michael Kaisers
- Full Name
- Dr. M. Kaisers
- Function(s)
- Scientific Staff Member
- M.Kaisers@cwi.nl
- Telephone
- +31 20 592 4035
- Room
- M359
- Department(s)
- Intelligent and Autonomous Systems
- Homepage
- http://www.michaelkaisers.com
Biography
Michael Kaisers investigates strategies and mechanisms for strategic interactions with both cooperative and competitive elements, inspired by applications in energy systems, trading in markets and negotiations. He has published more than 40 research articles in computer science, on the intersection of artificial intelligence and game theory, and now leads and contributes to European joint research projects, having acquired more than 1 million Euro in funding for work on multi-agent reinforcement learning, evolutionary dynamics, and efficient flexibility allocation in smart energy systems.
Publications
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Chakraborty, S, Baarslag, T, & Kaisers, M. (2019). Automated peer-to-peer negotiation for energy contract settlements in residential cooperatives. Applied Energy. doi:10.1016/j.apenergy.2019.114173
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Leahu, H, Kaisers, M, & Baarslag, T. (2019). Automated negotiation with Gaussian process-based utility models. In Proceedings of the International Conference on Artificial Intelligence (pp. 421–427). doi:10.24963/ijcai.2019/60
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Klima, R, Bloembergen, D, Kaisers, M, & Tuyls, K. (2019). Robust Temporal Difference Learning for Critical Domains. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (pp. 350–358).
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Leahu, H, Kaisers, M, & Baarslag, T. (2019). Preference Learning in Automated Negotiation Using Gaussian Uncertainty Models. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (pp. 2087–2089).
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Methenitis, G, Kaisers, M, & La Poutré, J.A. (2019). Forecast-based mechanisms for demand response. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS (pp. 1600–1608).
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Chakraborty, S, Hernandez-Leal, P, & Kaisers, M. (2019). An exchange mechanism to coordinate flexibility in residential energy cooperatives. In Proceedings of 20th IEEE International Conference on Industrial Technology (ICIT).
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Methenitis, G, Kaisers, M, & La Poutré, J.A. (2019). Degrees of rationality in agent-based retail markets. Computational Economics. doi:10.1007/s10614-019-09955-2
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Tsimpoukis, D, Baarslag, T, Kaisers, M, & Paterakis, N.G. (2018). Automated Negotiations under User Preference Uncertainty: A Linear Programming Approach. In AT 2018: Agreement Technologies (pp. 115–129). doi:10.1007/978-3-030-17294-7_9
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Methenitis, G, Kaisers, M, & La Poutré, J.A. (2018). Renewable electricity trading through SLAs. Energy Informatics, 1(57). doi:10.1186/s42162-018-0062-y
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Pappi, I, Baarslag, T, Kaisers, M, & Paterakis, N.G. (2018). An uncertainty-aware online planning tool for the sustainable electrification of festivals. In Proceedings of Int. Conf. on Smart Energy Systems and Technologies (SEST). IEEE, 2018.
Current projects with external funding
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Flexible Assets Bid Across Markets (FABAM)
Awards
- Title: Energy Contract Settlements through Automated Negotiation in Residential Cooperatives (2018)