Daniela Guericke is Assistant Professor for Stochastic Operations Research at the Section Industrial Engineering and Business Information Systems. Her research focuses on (stochastic) operations research and optimization in application areas such as energy systems and health care. In particular,  she is interested in decision-making under uncertainty and solving large-scale optimization problems.

Daniela received her PhD in Business Information Systems from the Decision Support and Operations Research Lab, Paderborn University. Afterwards,  she worked as a postdoctoral researcher at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). In 2020, she became Assistant Professor for Decision-making under Uncertainty in Integrated Energy Systems at DTU. In 2021, Daniela received the Young Researchers Award of the German OR Society (GOR e.V.).


  • Computer Science

    • Models
    • Control
    • Design
  • Engineering

    • Energy Engineering
    • Optimization
    • Networks
    • Planning
    • District Heating System



A memetic NSGA-II for the multi-objective flexible job shop scheduling problem with real-time energy tariffsFlexible services and manufacturing journal (E-pub ahead of print/First online). Burmeister, S. C., Guericke, D. & Schryen, G.https://doi.org/10.1007/s10696-023-09517-7Frigg 2.0: Integrating Price-Based Demand Response into Large-Scale Energy System Analysis. Social Science Research Network (SSRN) (Submitted). Schledorn, A., Charousset-Brignol, S., Junker, R. G., Guericke, D., Madsen, H. & Dominković, D. F.https://doi.org/10.2139/ssrn.4617554Can occupant behaviors affect urban energy planning? Distributed stochastic optimization for energy communitiesApplied energy, 348, Article 121589. Leprince, J., Schledorn, A., Guericke, D., Dominkovic, D. F., Madsen, H. & Zeiler, W.https://doi.org/10.1016/j.apenergy.2023.121589Optimizing planning and operation of renewable energy communities with genetic algorithmsApplied energy, 338, Article 120906. Lazzari, F., Mor, G., Cipriano, J., Solsona, F., Chemisana, D. & Guericke, D.https://doi.org/10.1016/j.apenergy.2023.120906Can occupant behaviors affect urban energy planning? Distributed stochastic optimization for energy communities. Leprince, J., Schledorn, A., Guericke, D., Dominkovic, D. F., Madsen, H. & Zeiler, W.
A generic stochastic network flow formulation for production optimization of district heating systems. Guericke, D., Schledorn, A. & Madsen, H.Data-Driven Methods for Efficient Operation of District Heating SystemsIn Handbook of Low Temperature District Heating (pp. 129-163). Springer. Bergsteinsson, H. G., Møller, J. K., Thilker, C. A., Guericke, D., Heller, A., Nielsen, T. S. & Madsen, H.https://doi.org/10.1007/978-3-031-10410-7_6Optimization of Heat Production for Electricity Market ParticipationIn Handbook of Low Temperature District Heating (pp. 179-193). Springer. Guericke, D., Schledorn, A. & Madsen, H.https://doi.org/10.1007/978-3-031-10410-7_8Frigg: Soft-linking energy system and demand response modelsApplied energy, 317, Article 119074. Schledorn, A., Junker, R. G., Guericke, D., Madsen, H. & Dominkovic, D. F.https://doi.org/10.1016/j.apenergy.2022.119074

Research profiles


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