{"_id":"wXBpvF68ZvwjZYAuo","authorIDs":[],"author_short":["Kelly, J.","Knottenbelt, W."],"bibbaseid":"kelly-knottenbelt-metadataforenergydisaggregation-2014","bibdata":{"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.","author":["Kelly, Jack","Knottenbelt, William"],"author_short":["Kelly, J.","Knottenbelt, W."],"bibtex":"@article{ kelly_metadata_2014,\n title = {Metadata for Energy Disaggregation},\n url = {http://arxiv.org/abs/1403.5946},\n 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.},\n urldate = {2014-04-17TZ},\n journal = {{arXiv}:1403.5946 [cs]},\n author = {Kelly, Jack and Knottenbelt, William},\n month = {March},\n year = {2014},\n keywords = {Computer Science - Databases, H.3}\n}","bibtype":"article","id":"kelly_metadata_2014","journal":"arXiv:1403.5946 [cs]","key":"kelly_metadata_2014","keywords":"Computer Science - Databases, H.3","month":"March","title":"Metadata for Energy Disaggregation","type":"article","url":"http://arxiv.org/abs/1403.5946","urldate":"2014-04-17TZ","year":"2014","bibbaseid":"kelly-knottenbelt-metadataforenergydisaggregation-2014","role":"author","urls":{"Paper":"http://arxiv.org/abs/1403.5946"},"keyword":["Computer Science - Databases","H.3"],"downloads":0,"html":""},"bibtype":"article","biburl":"http://bibbase.org/zotero/alspereira","creationDate":"2014-12-11T16:27:24.038Z","downloads":0,"keywords":["computer science - databases","h.3"],"search_terms":["metadata","energy","disaggregation","kelly","knottenbelt"],"title":"Metadata for Energy Disaggregation","year":2014,"dataSources":["ndsqabutJ3xHr3adK"]}