{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T18:44:20Z","timestamp":1771613060691,"version":"3.50.1"},"reference-count":62,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011,9]]},"DOI":"10.1109\/etfa.2011.6059103","type":"proceedings-article","created":{"date-parts":[[2011,10,24]],"date-time":"2011-10-24T16:30:25Z","timestamp":1319473825000},"page":"1-8","source":"Crossref","is-referenced-by-count":39,"title":["Efficient building load forecasting"],"prefix":"10.1109","author":[{"given":"Ivan","family":"Fernandez","sequence":"first","affiliation":[]},{"given":"Cruz E.","family":"Borges","sequence":"additional","affiliation":[]},{"given":"Yoseba K.","family":"Penya","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/59.260833"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/59.99372"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1115\/1.2888072"},{"key":"ref32","first-page":"3183","article-title":"A study of short-term load forecasting based on arima-ann","author":"lu","year":"2004","journal-title":"Proc International Conference on Machine Learning and Cybernetics"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2005.02.004"},{"key":"ref30","first-page":"343","article-title":"Demand forecasting using fuzzy neural computation, with special emphasis on weekend and public holiday forecasting","volume":"10","author":"srinivasan","year":"1992","journal-title":"IEEE Transactions on Power Systems"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1109\/TEVC.2005.857075","article-title":"Application of a fuzzy neural network combined with a chaos genetic algorithm and simulated annealing to short-term load forecasting","volume":"10","author":"mori","year":"2006","journal-title":"IEEE Transactions on Evolutionary Computing"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"853","DOI":"10.1109\/TPWRS.2008.922249","article-title":"RBF neural network and ANFIS-based short-term load forecasting approach in real-time price environment","volume":"23","author":"yun","year":"2008","journal-title":"IEEE Transactions on Power Systems"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/59.486118"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2009.01.062"},{"key":"ref60","article-title":"Telecontrol equipment and systems-Part 5: Transmission protocols-Section 102: Companion standard for the transmission of integrated totals in electric power systems","year":"1996"},{"key":"ref62","article-title":"Normal distribution-wikipedia, the free encyclopedia","year":"2011","journal-title":"Wikipedia"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/59.736281"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/59.496169"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/PSCE.2009.4840241"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1049\/ip-gtd:19990382","article-title":"Comparison of very short-term load forecasting techniques","volume":"146","author":"wu","year":"0","journal-title":"IEE Proceedings on Generation Transmission and Distribution"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/00207720110067421"},{"key":"ref1","article-title":"Grid 2030: A national vision for electricitys second 100 years","year":"2003"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/59.486125"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/59.708572"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/59.496146"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1057\/palgrave.jors.2600856"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.2307\/2291261"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/S0142-0615(96)00048-8"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1002\/for.3980110306"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1115\/1.2888143"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2004.09.009"},{"key":"ref59","article-title":"A practical guide to support vector classification","author":"hsu","year":"2010"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.enpol.2009.10.007"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/AFRCON.2011.6072062"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2005.09.004"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-2070(99)00045-X"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2008.05.003"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2004.09.006"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1115\/1.1637640"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/59.221222"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/0169-2070(86)90116-0"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/59.736298"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1099-131X(199905)18:3<215::AID-FOR719>3.3.CO;2-2"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1049\/ip-gtd:19971144","article-title":"Short-term load forecasting using threshold auto regressive models","volume":"144","author":"huang","year":"0","journal-title":"IEE Proceedings on Generation Transmission and Distribution"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/59.709108"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1049\/ip-gtd:19970599"},{"key":"ref16","first-page":"112","article-title":"Gaussian process prior models for electrical load forecasting","author":"leith","year":"2004","journal-title":"Proceedings of the International Conference on Probabilistic Methods Applied to Power Systems"},{"key":"ref17","article-title":"Practical experiences with modeling and forecast","author":"douglas","year":"1979","journal-title":"Time Series"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.1987.4335210"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/59.651639"},{"key":"ref4","first-page":"1104","article-title":"Predicting hourly building energy usage: The great energy predictor shootout-overview and discussion of results","author":"kreider","year":"1994","journal-title":"ASHRAE Trans 100"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2009.2036821"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ISIE.2011.5984356"},{"key":"ref5","article-title":"Electricity load forecast using inteligent adaptative technology","author":"comite","year":"2001"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-23471-3_12"},{"key":"ref49","first-page":"6","article-title":"Visualization of bayesian learner models","author":"greer","year":"1999","journal-title":"Proceedings of the Open Interactive and other Overt Approaches to Learner Modelling Workshop at the 9th International Conference on Artificial Intelligence in Education"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012402930055"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-36122-0_16"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/59.76685"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/59.667372"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-68716-5_44"},{"key":"ref47","first-page":"1053","article-title":"Bayesian non-linear modelling for the prediction competition","author":"mackay","year":"1994","journal-title":"ASHRAE Transactions V 100 Pt 2"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2005.860944"},{"key":"ref41","doi-asserted-by":"crossref","first-page":"1821","DOI":"10.1109\/TPWRS.2004.835679","article-title":"Load forecasting using support vector machines: a study on EUNITE competition 2001","volume":"19","author":"bo-juen","year":"2004","journal-title":"IEEE Transactions on Power Systems"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/PTC.2009.5282144"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2007.10.012"}],"event":{"name":"Factory Automation (ETFA 2011)","location":"Toulouse, France","start":{"date-parts":[[2011,9,5]]},"end":{"date-parts":[[2011,9,9]]}},"container-title":["ETFA2011"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/6045288\/6058966\/06059103.pdf?arnumber=6059103","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,20]],"date-time":"2017-06-20T04:32:19Z","timestamp":1497933139000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/6059103\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,9]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/etfa.2011.6059103","relation":{},"subject":[],"published":{"date-parts":[[2011,9]]}}}