Title :
Metadata for Energy Disaggregation
Author :
Kelly, Jonathan ; Knottenbelt, William
Author_Institution :
Dept. of Comput., Imperial Coll. London, London, UK
Abstract :
Energy disaggregation is the process of estimating the energy consumed by individual electrical appliances given only a time series of the whole-home power demand. Energy disaggregation researchers require datasets of the power demand from individual appliances and the whole-home power demand. Multiple such datasets have been released over the last few years but provide metadata in a disparate array of formats including CSV files and plain-text README files. At best, the lack of a standard metadata schema makes it unnecessarily time-consuming to write software to process multiple datasets and, at worse, the lack of a standard means that crucial information is simply absent from some datasets. We propose a metadata schema for representing appliances, meters, buildings, datasets, prior knowledge about appliances and appliance models. The schema is relational and provides a simple but powerful inheritance mechanism.
Keywords :
domestic appliances; inheritance; meta data; power consumption; power engineering computing; power meters; time series; CSV files; appliance knowledge; appliance models; buildings; electrical appliance; energy consumption estimation; energy disaggregation; inheritance mechanism; metadata schema; plain-text README files; power meters; time series; whole-home power demand; Buildings; Electricity; Hidden Markov models; Home appliances; Power demand; Vocabulary; Wiring; NIALM; NILM; YAML; disaggregation; energy; metadata;
Conference_Titel :
Computer Software and Applications Conference Workshops (COMPSACW), 2014 IEEE 38th International
Conference_Location :
Vasteras
DOI :
10.1109/COMPSACW.2014.97