contact: jack.kelly@imperial.ac.uk creators: ['Kelly, Jack'] date: '2015-01-05' description: Appliance-by-appliance and whole-home power demand for 5 UK homes. Appliance power demand was recorded once every 6 seconds. Whole-home power demand was recorded once every 6 seconds for all homes and additionally at 16kHz for homes 1, 2 and 5. Detailed metadata is included. description_of_subjects: 4 MSc students and 1 PhD student. funding: [Jack Kelly's PhD is funded by an EPSRC DTA, Hardware necessary for this project was funded from Jack Kelly's Intel EU PhD Fellowship] geo_location: {country: GB, latitude: 51.464462, locality: London, longitude: -0.076544} geospatial_coverage: Southern England institution: Imperial College London long_name: UK Domestic Appliance-Level Electricity name: UK-DALE number_of_buildings: 5 publisher: UK Energy Research Centre Energy Data Centre (UKERC EDC) related_documents: ['Jack Kelly and William Knottenbelt. The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes. Scientific Data 2:150007. DOI:10.1038/sdata.2015.7 arXiv:1404.0284 (2015).', 'The 1s and 6s data is available from the UK Energy Research Council''s Energy Data Centre: http://data.ukedc.rl.ac.uk/cgi-bin/dataset_catalogue/view.cgi.py?id=20 DOI:10.5286/UKERC.EDC.000001', 'The 16 kHz data is also available from the UK Energy Research Council''s Energy Data Centre: http://data.ukedc.rl.ac.uk/cgi-bin/dataset_catalogue//view.cgi.py?id=21 DOI:10.5286/UKERC.EDC.000002', 'All the data is also available for download from http://www.doc.ic.ac.uk/~dk3810/data/. This Imperial repository is likely to receive updates for House 1 data occasionally during 2015 and possibly further into the future. This Imperial repository may disappear some time after mid-2016.'] rights_list: - {name: Creative Commons Attribution 4.0 International (CC BY 4.0), uri: 'http://creativecommons.org/licenses/by/4.0/'} schema: https://github.com/nilmtk/nilm_metadata/tree/v0.2 subject: Disaggregated domestic electricity demand timeframe: {end: '2015-01-05T06:26:44+00:00', start: '2012-11-09T22:28:15+00:00'} timezone: Europe/London