dr. D. Guericke MSc (Daniela)

Assistant Professor

About Me

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.).


Engineering & Materials Science
District Heating
Home Health Care
Hot Temperature
Power Markets
Stochastic Programming
Renewable Energy
Business & Economics
Supply Planning


Leprince, J., Schledorn, A. , Guericke, D., Dominkovic, D. F., Madsen, H., & Zeiler, W. (2023). Can occupant behaviors affect urban energy planning? Distributed stochastic optimization for energy communities.
Lazzari, F., Mor, G., Cipriano, J., Solsona, F., Chemisana, D. , & Guericke, D. (2023). Optimizing planning and operation of renewable energy communities with genetic algorithms. Applied energy, 338, [120906]. https://doi.org/10.1016/j.apenergy.2023.120906
Guericke, D., Schledorn, A., & Madsen, H. (2022). Optimization of Heat Production for Electricity Market Participation. In R. Garay-Martinez, & A. Garrido-Marijuan (Eds.), Handbook of Low Temperature District Heating (pp. 179-193). (Green energy and technology). Springer. https://doi.org/10.1007/978-3-031-10410-7_8
Bergsteinsson, H. G., Møller, J. K., Thilker, C. A. , Guericke, D., Heller, A., Nielsen, T. S., & Madsen, H. (2022). Data-Driven Methods for Efficient Operation of District Heating Systems. In R. Garay-Martinez, & A. Garrido-Marijuan (Eds.), Handbook of Low Temperature District Heating (pp. 129-163). (Green energy and technology). Springer. https://doi.org/10.1007/978-3-031-10410-7_6
Schledorn, A., Junker, R. G. , Guericke, D., Madsen, H., & Dominkovic, D. F. (2022). Frigg: Soft-linking energy system and demand response models. Applied energy, 317, [119074]. https://doi.org/10.1016/j.apenergy.2022.119074
Bergsteinsson, H. G., Møller, J. K., Nystrup, P., Pálsson, Ó. P. , Guericke, D., & Madsen, H. (2021). Heat load forecasting using adaptive temporal hierarchies. Applied energy, 292, [116872]. https://doi.org/10.1016/j.apenergy.2021.116872
Banis, F. , Guericke, D., Madsen, H., & Poulsen, N. K. (2020). Utilizing flexibility in microgrids using model predictive control. In Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2018) (CP759 ed.). (IET Conference Publications; Vol. 2018, No. CP759). Institution of Engineering and Technology. https://doi.org/10.1049/cp.2018.1856
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Courses Academic Year  2022/2023

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Contact Details

Visiting Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn (building no. 10), room 4408
Hallenweg 17
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn  4408
P.O. Box 217
7500 AE Enschede
The Netherlands

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