Data-driven performance analysis of an active chilled beam air conditioning system: A machine learning approach for energy efficiency and predictive maintenance
This study aims to enhance energy performance estimation and maintenance planning for office buildings in Tehran.Machine ELP Modules learning and data mining techniques were employed, utilizing Support Vector Machines (SVMs), Artificial Neural Networks (ANNs), Narrow Neural Networks, and optimizable SVMs.A comprehensive dataset of 2500 experimental