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Accurate forecasting will enable a utility provider to plan the resources and also to take control actions to balance the electricity supply and demand. The customers will benefit from metering solutions through greater understanding of their own energy consumption and future projections, allowing them to better manage costs of their usage. In this proof of concept paper, our contribution is twofold: (1) we deal with short term electricity load forecasting for 24 hours ahead, not on the aggregate but on the individual household level what fits into the stream of Residential Power Load Forecasting (RPLF) methods; (2) we utilized a set of household behavioral data which significantly improved the forecasts accuracy.<\/jats:p>","DOI":"10.3233\/ifs-151748","type":"journal-article","created":{"date-parts":[[2016,1,15]],"date-time":"2016-01-15T12:20:56Z","timestamp":1452860456000},"page":"223-234","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":16,"title":["Short term electricity forecasting based on user behavior from individual smart meter data"],"prefix":"10.1177","volume":"30","author":[{"given":"Krzysztof","family":"Gajowniczek","sequence":"first","affiliation":[{"name":"Department of Informatics, Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences, Nowoursynowska, Warsaw, Poland"},{"name":"Institute of Systems Research, Polish Academy of Sciences, Newelska, Warsaw, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomasz","family":"Z\u0105bkowski","sequence":"additional","affiliation":[{"name":"Department of Informatics, Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences, Nowoursynowska, Warsaw, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2015,9,4]]},"reference":[{"issue":"1","key":"e_1_3_2_2_2","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1080\/00207720110067421","article-title":"Electric load forecasting: Literature survey and classification of methods","volume":"33","author":"Alfares H.K.","year":"2002","unstructured":"AlfaresH.K. and NazeeruddinM., Electric load forecasting: Literature survey and classification of methods, International Journal of Systems Science 33(1) (2002), 3\u201334.","journal-title":"International Journal of Systems Science"},{"issue":"3","key":"e_1_3_2_3_2","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1109\/TSG.2010.2078842","article-title":"Short-term load forecast of microgrids by a new bilevel prediction strategy","volume":"1","author":"Amjady N.","year":"2010","unstructured":"AmjadyN., KeyniaF. and ZareipourH., Short-term load forecast of microgrids by a new bilevel prediction strategy, Smart Grid IEEE Trans 1(3) (2010), 286\u2013294.","journal-title":"Smart Grid IEEE Trans"},{"key":"e_1_3_2_4_2","unstructured":"AungZ. 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