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Fault detection in district heating substations

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  1. Benakopoulos, Theofanis & Tunzi, Michele & Salenbien, Robbe & Hansen, Kasper Klan & Svendsen, Svend, 2022. "Implementation of a strategy for low-temperature operation of radiator systems using data from existing digital heat cost allocators," Energy, Elsevier, vol. 251(C).
  2. Jangsten, M. & Kensby, J. & Dalenbäck, J.-O. & Trüschel, A., 2017. "Survey of radiator temperatures in buildings supplied by district heating," Energy, Elsevier, vol. 137(C), pages 292-301.
  3. Benakopoulos, Theofanis & Tunzi, Michele & Salenbien, Robbe & Svendsen, Svend, 2021. "Strategy for low-temperature operation of radiator systems using data from existing digital heat cost allocators," Energy, Elsevier, vol. 231(C).
  4. Yan, Jingjing & Zhang, Huan & Wang, Yaran & Zhu, Zhaozhe & Bai, He & Li, Qicheng & Zheng, Lijun & Gao, Xinyong & You, Shijun, 2023. "Difference analysis and recognition of hydraulic oscillation by two types of sudden faults on long-distance district heating pipeline," Energy, Elsevier, vol. 284(C).
  5. Kim, Ryunhee & Hong, Yejin & Choi, Youngwoong & Yoon, Sungmin, 2021. "System-level fouling detection of district heating substations using virtual-sensor-assisted building automation system," Energy, Elsevier, vol. 227(C).
  6. Romanov, D. & Leiss, B., 2022. "Geothermal energy at different depths for district heating and cooling of existing and future building stock," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
  7. Zhang, Fan & Bales, Chris & Fleyeh, Hasan, 2021. "Night setback identification of district heat substations using bidirectional long short term memory with attention mechanism," Energy, Elsevier, vol. 224(C).
  8. Østergaard, Dorte Skaarup & Smith, Kevin Michael & Tunzi, Michele & Svendsen, Svend, 2022. "Low-temperature operation of heating systems to enable 4th generation district heating: A review," Energy, Elsevier, vol. 248(C).
  9. Lukas Lundström & Jan Akander & Jesús Zambrano, 2019. "Development of a Space Heating Model Suitable for the Automated Model Generation of Existing Multifamily Buildings—A Case Study in Nordic Climate," Energies, MDPI, vol. 12(3), pages 1-27, February.
  10. Averfalk, Helge & Werner, Sven, 2018. "Novel low temperature heat distribution technology," Energy, Elsevier, vol. 145(C), pages 526-539.
  11. Theofanis Benakopoulos & Robbe Salenbien & Dirk Vanhoudt & Svend Svendsen, 2019. "Improved Control of Radiator Heating Systems with Thermostatic Radiator Valves without Pre-Setting Function," Energies, MDPI, vol. 12(17), pages 1-24, August.
  12. Alessandro Guzzini & Marco Pellegrini & Edoardo Pelliconi & Cesare Saccani, 2020. "Low Temperature District Heating: An Expert Opinion Survey," Energies, MDPI, vol. 13(4), pages 1-34, February.
  13. Hong, Yejin & Yoon, Sungmin, 2022. "Holistic Operational Signatures for an energy-efficient district heating substation in buildings," Energy, Elsevier, vol. 250(C).
  14. Nord, Natasa & Løve Nielsen, Elise Kristine & Kauko, Hanne & Tereshchenko, Tymofii, 2018. "Challenges and potentials for low-temperature district heating implementation in Norway," Energy, Elsevier, vol. 151(C), pages 889-902.
  15. Sernhed, Kerstin & Lygnerud, Kristina & Werner, Sven, 2018. "Synthesis of recent Swedish district heating research," Energy, Elsevier, vol. 151(C), pages 126-132.
  16. Ioan Sarbu & Matei Mirza & Daniel Muntean, 2022. "Integration of Renewable Energy Sources into Low-Temperature District Heating Systems: A Review," Energies, MDPI, vol. 15(18), pages 1-28, September.
  17. Werner, Sven, 2017. "District heating and cooling in Sweden," Energy, Elsevier, vol. 126(C), pages 419-429.
  18. Serafeim Moustakidis & Ioannis Meintanis & George Halikias & Nicos Karcanias, 2019. "An Innovative Control Framework for District Heating Systems: Conceptualisation and Preliminary Results," Resources, MDPI, vol. 8(1), pages 1-15, January.
  19. Leoni, Paolo & Geyer, Roman & Schmidt, Ralf-Roman, 2020. "Developing innovative business models for reducing return temperatures in district heating systems: Approach and first results," Energy, Elsevier, vol. 195(C).
  20. Hong, Yejin & Yoon, Sungmin & Choi, Sebin, 2023. "Operational signature-based symbolic hierarchical clustering for building energy, operation, and efficiency towards carbon neutrality," Energy, Elsevier, vol. 265(C).
  21. Neumayer, Martin & Stecher, Dominik & Grimm, Sebastian & Maier, Andreas & Bücker, Dominikus & Schmidt, Jochen, 2023. "Fault and anomaly detection in district heating substations: A survey on methodology and data sets," Energy, Elsevier, vol. 276(C).
  22. Calikus, Ece & Nowaczyk, Sławomir & Sant'Anna, Anita & Gadd, Henrik & Werner, Sven, 2019. "A data-driven approach for discovering heat load patterns in district heating," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
  23. Fester, Jakob & Østergaard, Peter Friis & Bentsen, Fredrik & Nielsen, Brian Kongsgaard, 2023. "A data-driven method for heat loss estimation from district heating service pipes using heat meter- and GIS data," Energy, Elsevier, vol. 277(C).
  24. Sarran, Lucile & Smith, Kevin M. & Hviid, Christian A. & Rode, Carsten, 2022. "Grey-box modelling and virtual sensors enabling continuous commissioning of hydronic floor heating," Energy, Elsevier, vol. 261(PB).
  25. Guelpa, Elisa & Verda, Vittorio, 2020. "Automatic fouling detection in district heating substations: Methodology and tests," Applied Energy, Elsevier, vol. 258(C).
  26. Guelpa, E. & Capone, M. & Sciacovelli, A. & Vasset, N. & Baviere, R. & Verda, V., 2023. "Reduction of supply temperature in existing district heating: A review of strategies and implementations," Energy, Elsevier, vol. 262(PB).
  27. Nord, Natasa & Shakerin, Mohammad & Tereshchenko, Tymofii & Verda, Vittorio & Borchiellini, Romano, 2021. "Data informed physical models for district heating grids with distributed heat sources to understand thermal and hydraulic aspects," Energy, Elsevier, vol. 222(C).
  28. Wang, Zhanwei & Wang, Zhiwei & He, Suowei & Gu, Xiaowei & Yan, Zeng Feng, 2017. "Fault detection and diagnosis of chillers using Bayesian network merged distance rejection and multi-source non-sensor information," Applied Energy, Elsevier, vol. 188(C), pages 200-214.
  29. Xue, Puning & Zhou, Zhigang & Fang, Xiumu & Chen, Xin & Liu, Lin & Liu, Yaowen & Liu, Jing, 2017. "Fault detection and operation optimization in district heating substations based on data mining techniques," Applied Energy, Elsevier, vol. 205(C), pages 926-940.
  30. Sara Månsson & Kristin Davidsson & Patrick Lauenburg & Marcus Thern, 2018. "Automated Statistical Methods for Fault Detection in District Heating Customer Installations," Energies, MDPI, vol. 12(1), pages 1-18, December.
  31. Shahrooz Abghari & Veselka Boeva & Jens Brage & Håkan Grahn, 2020. "A Higher Order Mining Approach for the Analysis of Real-World Datasets," Energies, MDPI, vol. 13(21), pages 1-23, November.
  32. Shuai Zhao & Huizhe Cao & Jiguang Zhu & Jinxiang Chen & Chein-Chi Chang, 2023. "A New Time-Series Fluctuation Study Method Applied to Flow and Pressure Data in a Heating Network," Energies, MDPI, vol. 16(6), pages 1-18, March.
  33. Li, Yu & Rezgui, Yacine & Zhu, Hanxing, 2017. "District heating and cooling optimization and enhancement – Towards integration of renewables, storage and smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 281-294.
  34. Nussbaumer, T. & Thalmann, S., 2016. "Influence of system design on heat distribution costs in district heating," Energy, Elsevier, vol. 101(C), pages 496-505.
  35. Månsson, Sara & Johansson Kallioniemi, Per-Olof & Thern, Marcus & Van Oevelen, Tijs & Sernhed, Kerstin, 2019. "Faults in district heating customer installations and ways to approach them: Experiences from Swedish utilities," Energy, Elsevier, vol. 180(C), pages 163-174.
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