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Data-driven performance analysis of an active chilled beam air conditioning system: A machine learning approach for energy efficiency and predictive maintenance
Research article (Results in Engineering, 2024) · cited 27× · AI/ML
Data-driven performance analysis of an active chilled beam air conditioning system: A machine learning approach for energy efficiency and predictive maintenance
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Data-driven performance analysis of an active chilled beam air conditioning system: A machine learning approach for energy efficiency and predictive maintenance is a scholarly article[1].
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Data-driven performance analysis of an active chilled beam air conditioning system: A machine learning approach for energy efficiency and predictive maintenance's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Data-driven performance analysis of an active chilled beam air conditioning system: A machine learning approach for energy efficiency and predictive maintenance. Retrieved May 24, 2026, from https://4ort.xyz/entity/data-driven-performance-analysis-of-an-active-chilled-beam-air-conditioning-system-a-machine-learning-approach-for-energ
MLA“Data-driven performance analysis of an active chilled beam air conditioning system: A machine learning approach for energy efficiency and predictive maintenance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/data-driven-performance-analysis-of-an-active-chilled-beam-air-conditioning-system-a-machine-learning-approach-for-energ.
BibTeX@misc{4ortxyz_data-driven-performance-analysis-of-an-active-chilled-beam-air-conditioning-system-a-machine-learning-approach-for-energ_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data-driven performance analysis of an active chilled beam air conditioning system: A machine learning approach for energy efficiency and predictive maintenance}}, year = {2026}, url = {https://4ort.xyz/entity/data-driven-performance-analysis-of-an-active-chilled-beam-air-conditioning-system-a-machine-learning-approach-for-energ}, note = {Accessed: 2026-05-24}}
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