Open Access
Issue
E3S Web Conf.
Volume 672, 2025
The 17th ROOMVENT Conference (ROOMVENT 2024)
Article Number 02003
Number of page(s) 8
Section Modelling & Measuring: Control & Data Usage
DOI https://doi.org/10.1051/e3sconf/202567202003
Published online 05 December 2025
  1. A. Capozzoli, F. Lauro, I Khan, Fault detection analysis using data mining techniques for a cluster of smart office buildings, ESWA 42 (2015) [Google Scholar]
  2. Z. Chen, Z. O’Neill, J. Wen, O. Pradhan, T. Yang, X. Lu, G. Lin, S. Miyata, S. Lee, C. Shen, R. Chiosa, M. Piscitelli, A. Capozzoli, F. Hengel, A. Kührer, M. Pritoni, W. Liu, J. Clauß, Y. Chen, T. Herr, A review of data-driven fault detection and diagnostics for building HVAC systems, ApEnergy 339 (2023) [Google Scholar]
  3. Y. Zhao, T. Li, X. Zhang, C. Zhang, Artificial intelligence-based fault detection and diagnosis methods for building energy systems: Advantages, challenges and the future, RSER 109 (2019) [Google Scholar]
  4. X. Yu, S. Ergan, G. Dedemen, A data-driven approach to extract operational signatures of HVAC systems and analyze impact on electricity consumption, ApEnergy 253 (2019) [Google Scholar]
  5. Y. Xu, C. Yan, J. Shi, Z. Lu, X. Niu, Y. Jiang, F. Zhu, An anomaly detection and dynamic energy performance evaluation method for HVAC systems based on data mining, SETA 44 (2021) [Google Scholar]
  6. M. Ala’raj, M. Radi, M. Abbod, M. Majdalawieh, M. Parodi, Data-driven based HVAC optimisation approaches: A Systematic Literature Review, JOBE 46 (2022) [Google Scholar]
  7. D. Araya, K. Grolinger, H. ElYamany, M. Capretz, G. Bitsuamlak, An ensemble learning framework for anomaly detection in building energy consumption, EnBuild 144 (2017) [Google Scholar]
  8. A. Khalilnejad, R. French, A. Abramson, Data- driven evaluation of HVAC operation and savings in commercial buildings, ApEnergy 278 (2020) [Google Scholar]
  9. M. González-Torres, L. Pérez-Lombard, J. F. Coronel, I. R. Maestre, D. Yan, A review on buildings energy information: Trends, end-uses, fuels and drivers, EGYR 8 (2022) [Google Scholar]
  10. Directive (EU) 2023/1791 of the European Parliament and of the Council of 13 September 2023 on energy efficiency and amending Regulation (EU) 2023/955 (recast), Official Journal of the European Union L 231/1 (2023) [Google Scholar]
  11. C. Aggarwal, Data Mining, 37, 162 (2015) [Google Scholar]
  12. A. Géron, Hands-On Machine Learning with Scikit- Learn, Keras & TensorFlow 3rd Edition, 8 – 14, 263 (2022) [Google Scholar]

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