Christopher Dieckert

Jan 22, 2024 | mdpi.com | William Nelson |Christopher Dieckert

1. IntroductionMachine learning (ML) has seen an increase in popularity for automated fault detection and diagnostics (AFDD) in building systems in recent years [1,2]. Previous work [3] describes a method for processing data into standardized formats and outlines the use of classification algorithms to detect and diagnose faults in building systems.