DATA-DRIVEN MODELING OF BOREHOLE THERMAL ENERGY STORAGE (BTES) FOR OPERATIONAL OPTIMIZATION OF RENEWABLE HEAT PRODUCTION SYSTEMS
- DOI
- 10.52202/077185-0157
- Published
- 2024
- Container
- 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
- Publisher
- ECOS 2024
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.52202/077185-0157,
title = {DATA-DRIVEN MODELING OF BOREHOLE THERMAL ENERGY STORAGE (BTES) FOR OPERATIONAL OPTIMIZATION OF RENEWABLE HEAT PRODUCTION SYSTEMS},
author = {Franziska Krenzlin and Willem Hagemann and Hannes Gernandt and Johannes Schiffer},
year = {2024},
journal = {37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)},
doi = {10.52202/077185-0157},
url = {https://doi.org/10.52202/077185-0157}
}RIS
TY - JOUR TI - DATA-DRIVEN MODELING OF BOREHOLE THERMAL ENERGY STORAGE (BTES) FOR OPERATIONAL OPTIMIZATION OF RENEWABLE HEAT PRODUCTION SYSTEMS AU - Franziska Krenzlin AU - Willem Hagemann AU - Hannes Gernandt AU - Johannes Schiffer PY - 2024 JO - 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024) DO - 10.52202/077185-0157 UR - https://doi.org/10.52202/077185-0157 ER -
APA
Krenzlin, F., Hagemann, W., Gernandt, H., & Schiffer, J. (2024). DATA-DRIVEN MODELING OF BOREHOLE THERMAL ENERGY STORAGE (BTES) FOR OPERATIONAL OPTIMIZATION OF RENEWABLE HEAT PRODUCTION SYSTEMS. 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024). https://doi.org/10.52202/077185-0157
Source records
- crossref · retrieved 2026-09-27T01:18:20.343Z