Abstract
An approach is described in this work for detecting discomfort moments during electrical water heater daily usage. The approach employs chromatic analyzing sensors signals of electrical water heater systems for producing distinguishable mapping to characterize and identify selected discomfort moments. The preliminary results obtained indicate that it is possible to distinguish such events in a non-intrusive approach. Hot water comfort detection and classification intelligently through human behavior monitoring and analyses plays an important role in both, energy saving and energy management. The focus is on recording the discomfort situations followed by merging system outcomes with efficiency evaluation will be used to provide helpful recommendations for selecting appropriate operating strategy.
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