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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.).

Expertise

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

Organisations

Publications

Recent
Burmeister, S. C. , Guericke, D., & Schryen, G. (2023). A memetic NSGA-II for the multi-objective flexible job shop scheduling problem with real-time energy tariffs. Flexible services and manufacturing journal. Advance online publication. https://doi.org/10.1007/s10696-023-09517-7
Schledorn, A., Charousset-Brignol, S., Junker, R. G. , Guericke, D., Madsen, H., & Dominković, D. F. (2023). Frigg 2.0: Integrating Price-Based Demand Response into Large-Scale Energy System Analysis. Social Science Research Network (SSRN). https://doi.org/10.2139/ssrn.4617554
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. Applied energy, 348, Article 121589. https://doi.org/10.1016/j.apenergy.2023.121589
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, Article 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, Article 119074. https://doi.org/10.1016/j.apenergy.2022.119074
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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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University of Twente Drienerlolaan 5
7522 NB Enschede
+31 (0)53 489 9111
info@utwente.nl
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