engleski

Water Use Disaggregation Based on Classification of Feature Vectors Extracted from Smart Meter Data

This work studies a feasibility of water use disaggregation from commercial smart meters, with volume quantization on the level of 1 litre. New water use characterisation is performed by extraction of predefined features from smart meter records and deter- mination of a region from a given pre-calculated region partition to which the corresponding features belong. Region adherence corresponds to a particular fixture type actuation in the household. Regions partition is computed by employing multicategory robust linear programming technique. Performance of the water use disaggregation model is shown when a separate model is tuned for each household based on sole household data.

Water end-use disaggregation ; extraction of features from time-series data ; multicategory robust linear programming

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