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Energy efficiency is a big concern in industrial sectors. Finding the rootcause of anomaly state of energy efficiency can help to improve energyefficiency of industrial systems and therefore save energy cost. In thisresearch, we propose to use transfer entropy (TE) for root cause analysis onenergy efficiency of industrial systems. A method, called TE flow, is proposedin that a TE flow from physical measurements of each subsystem to the energyefficiency indicator along timeline is considered as causal strength fordiagnosing root cause of anomaly states of energy efficiency of a system. Thecopula entropy-based nonparametric TE estimator is used in the proposed method.We conducted experiments on real data collected from a compressing air systemto verify the proposed method. Experimental results show that the TE flowmethod successfully identified the root cause of the energy (in)efficiency ofthe system.

Root Cause Analysis on Energy Efficiency with Transfer Entropy Flow