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. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1109/COMPSACW.2014.97 | Computer Software and Applications Conference Workshops |
Keywords | DocType | Volume |
energy, disaggregation, nilm, nialm, metadata, yaml,electricity,metadata,hidden markov models,time series,meta data,energy | Journal | abs/1403.5946 |
Citations | PageRank | References |
14 | 1.90 | 5 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jack Kelly | 1 | 192 | 12.17 |
William J. Knottenbelt | 2 | 571 | 50.07 |