{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T14:30:33Z","timestamp":1771943433332,"version":"3.50.1"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100004607","name":"Natural Science Foundation of Guangxi Province","doi-asserted-by":"publisher","award":["AD19245001"],"award-info":[{"award-number":["AD19245001"]}],"id":[{"id":"10.13039\/501100004607","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004607","name":"Natural Science Foundation of Guangxi Province","doi-asserted-by":"publisher","award":["2018GXNSFFA281006"],"award-info":[{"award-number":["2018GXNSFFA281006"]}],"id":[{"id":"10.13039\/501100004607","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61773359"],"award-info":[{"award-number":["61773359"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51977041"],"award-info":[{"award-number":["51977041"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61720106009"],"award-info":[{"award-number":["61720106009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2979686","type":"journal-article","created":{"date-parts":[[2020,3,10]],"date-time":"2020-03-10T20:13:18Z","timestamp":1583871198000},"page":"49090-49099","source":"Crossref","is-referenced-by-count":77,"title":["Deep Forest Regression for Short-Term Load Forecasting of Power Systems"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8343-3669","authenticated-orcid":false,"given":"Linfei","family":"Yin","sequence":"first","affiliation":[]},{"given":"Zhixiang","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Fang","family":"Gao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2676-9171","authenticated-orcid":false,"given":"Hui","family":"Liu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-017-1388-1"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2018.02.019"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2950989"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/en12152882"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2018.09.068"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.optcom.2018.12.069"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2017.01.012"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2019.2963270"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1080\/0952813X.2017.1409280"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-7403-6_60"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.03.005"},{"key":"ref61","first-page":"108","article-title":"API design for machine learning software: Experiences from the scikit-learn project","author":"buitinck","year":"2013","journal-title":"Proc ECML PKDD Workshop Lang Data Mining Mach Learn"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/LPT.2018.2839652"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JLT.2019.2898879"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2893071"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/en81112361"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2015.12.007"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3233\/ICA-180580"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20521-8_22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59773-7_21"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.07.051"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2018.04.085"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1108\/SSMT-11-2018-0045"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.cam.2018.10.057"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-018-2095-4"},{"key":"ref51","article-title":"A dynamic boosted ensemble learning method based on random forest","author":"ren","year":"2018","journal-title":"arXiv 1804 07270"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1504\/IJMME.2016.078350"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2013.07.005"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2017.11.005"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.3390\/en9100767"},{"key":"ref55","author":"yin","year":"2020","journal-title":"Data_for_Ieeeaccess_Linfei Yin"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/34.709601"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"ref52","article-title":"A siamese deep forest","author":"utkin","year":"2017","journal-title":"arXiv 1704 08715"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/3894723"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2016.02.045"},{"key":"ref40","first-page":"77","article-title":"Power system short-term load forecasting based on multiple proportions smoothing method","author":"tang","year":"2017","journal-title":"Proc 2nd Int Conf Electr Control Autom Eng (ECAE)"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.02.131"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2015.07.041"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IECON.2016.7793413"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2018.01.036"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.simpat.2016.05.005"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2017.08.056"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2902603"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2877890"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966396"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2016.01.016"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.01.017"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s40866-016-0018-x"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/en12010094"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.227"},{"key":"ref49","article-title":"Forward thinking: Building deep random forests","author":"miller","year":"2017","journal-title":"arXiv 1705 07366"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.09.027"},{"key":"ref46","first-page":"194","article-title":"A deep forest for transductive transfer learning by using a consensus measure","author":"utkin","year":"2017","journal-title":"Proc Conf Artif Intell Natural Lang"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2017.8217909"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2793960"},{"key":"ref47","first-page":"23233","article-title":"Wavelet packet and deep forest based objective auscultation in traditional chinese medicine","volume":"6","author":"yan","year":"2017","journal-title":"International Journal of Computational Engineering Science"},{"key":"ref42","article-title":"Deep forest","author":"zhou","year":"2017","journal-title":"arXiv 1702 08835"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2853162"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3178212.3178216"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/app8112185"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09031388.pdf?arnumber=9031388","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T01:09:21Z","timestamp":1641949761000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9031388\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":61,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2979686","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}