{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T21:12:22Z","timestamp":1777410742770,"version":"3.51.4"},"reference-count":124,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"\u201cHeatReFlex-Green and Flexible District Heating\/Cooling\u201d project"},{"DOI":"10.13039\/501100001731","name":"Danida Fellowship Centre and the Ministry of Foreign Affairs of Denmark to research in growth and transition countries","doi-asserted-by":"publisher","award":["18-M06-AAU"],"award-info":[{"award-number":["18-M06-AAU"]}],"id":[{"id":"10.13039\/501100001731","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2021.3136091","type":"journal-article","created":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T20:36:11Z","timestamp":1639600571000},"page":"2196-2215","source":"Crossref","is-referenced-by-count":71,"title":["Heating and Cooling Loads Forecasting for Residential Buildings Based on Hybrid Machine Learning Applications: A Comprehensive Review and Comparative Analysis"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2557-1307","authenticated-orcid":false,"given":"Arash","family":"Moradzadeh","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0255-8353","authenticated-orcid":false,"given":"Behnam","family":"Mohammadi-Ivatloo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0241-7021","authenticated-orcid":false,"given":"Mehdi","family":"Abapour","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5505-3252","authenticated-orcid":false,"given":"Amjad","family":"Anvari-Moghaddam","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2003-7882","authenticated-orcid":false,"given":"Sanjiban Sekhar","family":"Roy","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2963502"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3052994"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2852811"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2021.103064"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2831917"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3075485"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/en13112840"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2020.102151"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3017516"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2018.06.050"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2949726"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2015.06.043"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2010.04.006"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2009.10.009"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2005.01.013"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2014.07.036"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/inventions6010015"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2018.06.056"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2019.101629"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2007.04.014"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2008.11.010"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2016.10.079"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2017.04.095"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/su12083158"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2017.05.249"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2004.09.009"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.applthermaleng.2017.09.007"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/APCIP.2009.22"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/app10113829"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICEE50131.2020.9260869"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2020.102283"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/su12177076"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3027061"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2017.03.064"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.12.004"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.02.066"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-019-01317-y"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-020-02720-6"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2968536"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2972303"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2011.02.008"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2018.01.066"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/WKDD.2010.137"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CCTAE.2010.5543476"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2003.10.009"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2008.08.033"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2010.02.009"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2012.12.005"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2017.08.077"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2017.03.070"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.03.078"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2019.05.043"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2011.02.002"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2012.11.010"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2017.02.064"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.09.052"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2012.08.007"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.04.065"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2015.02.052"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2005.08.006"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2008.09.017"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2005.02.005"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2013.11.051"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2009.06.028"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2017.12.042"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.11.077"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2020.114561"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2020.102525"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.01.187"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2015.11.037"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/j.jobe.2018.10.006"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2019.101484"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2017.11.034"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2020.102403"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2019.101815"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2012.03.003"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1016\/j.egypro.2017.08.293"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2014.01.069"},{"key":"ref79","volume-title":"Data Mining: Practical Machine learning","author":"Witten","year":"2011"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/72.572102"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/ACEMP-OPTIM44294.2019.9007169"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2020.102430"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijsrc.2018.10.010"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.28991\/ijse-01123"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2956555"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2019.111864"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2015.03.060"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2014.02.015"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.3390\/electronics9071150"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2016.08.090"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3048519"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1016\/j.egypro.2017.05.124"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2017.10.044"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1016\/j.aej.2020.01.033"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2016.12.094"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2014.04.077"},{"key":"ref97","first-page":"995","article-title":"Nearest neighbor based feature selection for regression and its application to neural activity","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Navot"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2017.03.015"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1971.4308320"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2016.04.020"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2019.05.052"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1016\/j.jestch.2015.04.012"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105940"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2651396"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2621671"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2019.101685"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1016\/j.jco.2015.07.002"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2934742"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1970.10488635"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2020.102690"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2012.05.009"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2014.01.022"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.896644"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2015.05.028"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1109\/UPEC.2019.8893542"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2016.07.027"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrh.2019.100640"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1016\/j.egypro.2017.12.391"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1002\/cem.1249"},{"issue":"3","key":"ref121","first-page":"3691","article-title":"A hybrid least squares support vector machines and GMDH approach for river flow forecasting","volume":"7","author":"Samsudin","year":"2010","journal-title":"Hydrol. Earth Syst. Sci. Discuss."},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.14311\/NNW.2011.21.015"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1080\/02626667.2014.966721"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2021.107563"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09652532.pdf?arnumber=9652532","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T00:29:44Z","timestamp":1704846584000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9652532\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":124,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3136091","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}