Digital Twin-Based Fault Detection and Prioritisation in District Heating Systems: A Case Study in Denmark
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48652-4_18
Reference19 articles.
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2. Bahlawan, H., et al.: Detection and identification of faults in a district heating network. Energy Convers. Manage. 266, 115837 (2022). https://doi.org/10.1016/j.enconman.2022.115837
3. Bang, M., Engelsgaard, S.S., Alexandersen, E.K., Skydt, M.R., Shaker, H.R., Jradi, M.: Novel real-time model-based fault detection method for automatic identification of abnormal energy performance in building ventilation units. Energy Build. 183, 238–251 (2019). https://doi.org/10.1016/j.enbuild.2018.11.006
4. Buffa, S., Fouladfar, M.H., Franchini, G., Lozano Gabarre, I., Andrés Chicote, M.: Advanced control and fault detection strategies for district heating and cooling systems-a review. Appl. Sci. 11(1), 455 (2021). https://doi.org/10.3390/app11010455
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