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.).
Schledorn, A., Junker, R.G., Guericke, D., Madsen, H. and Dominković, D.F., 2022. Frigg: Soft-linking energy system and demand response models. Applied Energy, 317
Guericke, D. and Madsen, H., 2021. A stochastic program for biomass contract selection under demand uncertainty. Energy Systems, pp.1-19.
Bergsteinsson, H.G., Møller, J.K., Nystrup, P., Pálsson, Ó.P., Guericke, D. and Madsen, H., 2021. Heat load forecasting using adaptive temporal hierarchies. Applied Energy, 292, p.116872.
Schledorn, A., Guericke, D., Andersen, A.N. and Madsen, H., 2021. Optimising block bids of district heating operators to the day-ahead electricity market using stochastic programming. Smart Energy, 1, p.100004.
Guericke, D., Blanco, I., Morales, J.M. and Madsen, H., 2020. A two-phase stochastic programming approach to biomass supply planning for combined heat and power plants. Or Spectrum, 42(4), pp.863-900.
Blanco, I., Andersen, A.N., Guericke, D. and Madsen, H., 2020. A novel bidding method for combined heat and power units in district heating systems. Energy Systems, 11(4), pp.1137-1156.
Blanco, I., Guericke, D., Andersen, A.N. and Madsen, H., 2018. Operational planning and bidding for district heating systems with uncertain renewable energy production. Energies, 11(12), p.3310.
Guericke, D. and Suhl, L., 2017. The home health care problem with working regulations. Or Spectrum, 39(4), pp.977-1010.
Lüers, D. and Suhl, L., 2017. Continuity Between Planning Periods in the Home Health Care Problem. In Operations Research Proceedings 2015 (pp. 217-223). Springer, Cham.
Guericke, D. 2016. Routing and scheduling for home care services: solution approaches for static and dynamic settings. Dissertation, Paderborn University