K. Stepanovic, Jichen Wu, Rob Everhardt, M.M. de Weerdt (2022), Unlocking the Flexibility of District Heating Pipeline Energy Storage with Reinforcement Learning, 34th Benelux Conference on Artificial Intelligence (BNAIC) and the 30th Belgian Dutch Conference on Machine Learning (Benelearn).

Pallas Agterberg, Maarten Bijl, J. L. Hurink, J.A. la Poutré, Gerdien van de Vreede, M.M. de Weerdt, Tijs Wilbrink (2021), AI as an accelerator of the energy transitition: Opportunities for a carbon-free energy system.

Koos van der Linden, Natalia Romero, Mathijs de Weerdt (2021), Benchmarking Flexible Electric Loads Scheduling Algorithms, In Energies Volume 14 p.1-16.

Laurens Bliek, Arthur Guijt, Sicco Verwer, Mathijs De Weerdt (2021), Black-box mixed-variable optimisation using a surrogate model that satisfies integer constraints, In GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion p.1851-1859, Association for Computing Machinery (ACM).

Frits de Nijs, Erwin Walraven, Mathijs M. de Weerdt, Matthijs T.J. Spaan (2021), Constrained multiagent Markov decision processes: A taxonomy of problems and algorithms, In Journal of Artificial Intelligence Research Volume 70 p.955-1001.

Rickard Karlsson, Laurens Bliek, Sicco Verwer, Mathijs de Weerdt (2021), Continuous Surrogate-Based Optimization Algorithms Are Well-Suited for Expensive Discrete Problems, Mitra Baratchi, Lu Cao, Walter A. Kosters, Jefrey Lijffijt, Jan N. van Rijn, Frank W. Takes (Eds.), In Artificial Intelligence and Machine Learning - 32nd Benelux Conference, BNAIC/Benelearn 2020, Revised Selected Papers p.48-63, Springer.

Anna Stawska, Natalia Romero Lane, Mathijs de Weerdt, Remco Verzijlbergh (2021), Demand response: For congestion management or for grid balancing?, In Energy Policy Volume 148.

Longjian Piao, Laurens de Vries, Mathijs de Weerdt, Neil Yorke-Smith (2021), Electricity Markets for DC Distribution Systems: Locational Pricing Trumps Wholesale Pricing, In Energy Volume 214.

Burak Yildiz, Hayley Hung, Jesse H. Krijthe, Cynthia C.S. Liem, Marco Loog, Gosia Migut, Frans A. Oliehoek, Annibale Panichella, Przemysław Pawełczak, Stjepan Picek, Mathijs de Weerdt, Jan van Gemert (2021), ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility, Bertrand Kerautret, Miguel Colom, Adrien Krähenbühl, Daniel Lopresti, Pascal Monasse, Hugues Talbot (Eds.), In Reproducible Research in Pattern Recognition - 3rd International Workshop, RRPR 2021, Revised Selected Papers p.3-11, Springer.

Mathijs de Weerdt, Robert Baart, Lei He (2021), Single-machine scheduling with release times, deadlines, setup times, and rejection, In European Journal of Operational Research Volume 291 p.629-639.