Expertises
Engineering & Materials Science
# District Heating
# Home Health Care
# Hot Temperature
# Power Markets
# Stochastic Programming
Mathematics
# Bidding
# Renewable Energy
Business & Economics
# Supply Planning
Verbonden aan
Publicaties
Recent
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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Vakken Collegejaar 2022/2023
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Contactgegevens
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Universiteit Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn
(gebouwnr. 10), kamer 3315
Hallenweg 17
7522NH Enschede
Postadres
Universiteit Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn
3315
Postbus 217
7500 AE Enschede