Fault Detection and Diagnosis as a Predictor of Energy Consumption in Special-Purpose Buildings
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-58086-4_23
Reference61 articles.
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3. Alghanmi A, Yunusa-Kaltungo A (2023a) A whole-building data-driven fault detection and diagnosis approach for public buildings in hot climate regions. Energy Built Environ. https://doi.org/10.1016/j.enbenv.2023.07.005
4. Alghanmi A, Yunusa-Kaltungo A (2023b) An ensemble-based faults detection and diagnosis approach for determining faults severities at whole-building level. J Build Perform Simul. https://doi.org/10.1080/19401493.2023.2247382
5. Alghanmi A, Yunusa-Kaltungo A, Edwards R (2021) A comparative study of faults detection techniques on HVAC systems. In: 2021 IEEE PES/IAS PowerAfrica, PowerAfrica 2021. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/PowerAfrica52236.2021.9543158
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