dr. D. Guericke MSc (Daniela)

Engineering & Materials Science

# District Heating
# Home Health Care
# Hot Temperature
# Power Markets
# Stochastic Programming

Mathematics

# Bidding
# Renewable Energy

Business & Economics

# Supply Planning

Faculty of Behavioural, Management and Social Sciences (BMS), Industrial Engineering & Business Information Systems (IEBIS)

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

Guericke, D., & Madsen, H. (2021). A stochastic program for biomass contract selection under demand uncertainty. Energy Systems. https://doi.org/10.1007/s12667-021-00455-7

Schledorn, A. , Guericke, D., Andersen, A. N., & Madsen, H. (2021). Optimising block bids of district heating operators to the day-ahead electricity market using stochastic programming. Smart Energy, 1, [100004]. https://doi.org/10.1016/j.segy.2021.100004

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

Schwarz, R., Lacalandra, F., Schewe, L., Bettinelli, A., Vigo, D., Bischi, A., Parriani, T., Martelli, E., Vuik, K., Lenz, R., Madsen, H., Blanco, I. , Guericke, D., Yüksel-Ergün, I., & Zittel, J. (2020). Network and Storage. In N. S. Hadjidimitriou, A. Frangioni, T. Koch, & A. Lodi (Eds.), Mathematical Optimization for Efficient and Robust Energy Networks (pp. 89-105). (AIRO Springer Series (AIROSS); Vol. 4). Springer. https://doi.org/10.1007/978-3-030-57442-0_6

Banis, F., Madsen, H., Poulsen, N. K. , & Guericke, D. (2020). Prosumer Response Estimation Using SINDyc in Conjunction with Markov-Chain Monte-Carlo Sampling. Energies, 13, [3183]. https://doi.org/10.3390/en13123183

Blanco, I., Andersen, A. N. , Guericke, D., & Madsen, H. (2020). A novel bidding method for combined heat and power units in district heating systems. Energy Systems, 11, 1137-1156. https://doi.org/10.1007/s12667-019-00352-0

Guericke, D., Blanco, I., Morales, J. M., & Madsen, H. (2020). A two-phase stochastic programming approach to biomass supply planning for combined heat and power plants. OR Spectrum, 42, 863-900. https://doi.org/10.1007/s00291-020-00593-x

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Naar mijn profiel

Bachelor

Technische Bedrijfskunde

Master

Industrial Engineering and Management

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.