{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T15:08:14Z","timestamp":1774451294800,"version":"3.50.1"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100007129","name":"Youth-Project of Shandong Natural Science Foundation, Research on optimal control algorithm of capacitor voltage balancing for hybrid MMC with a low DC-1ink voltage","doi-asserted-by":"publisher","award":["ZR2020QE215"],"award-info":[{"award-number":["ZR2020QE215"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Funding-Project of Shandong Natural Science Foundation","doi-asserted-by":"publisher","award":["ZR2017LEE022"],"award-info":[{"award-number":["ZR2017LEE022"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Program of Zibo, Shandong, China, Development of multi-objective optimization for optimal dynamic controller of transformer","award":["2019ZBXC498"],"award-info":[{"award-number":["2019ZBXC498"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3131237","type":"journal-article","created":{"date-parts":[[2021,11,29]],"date-time":"2021-11-29T20:57:24Z","timestamp":1638219444000},"page":"160021-160034","source":"Crossref","is-referenced-by-count":13,"title":["A New Medium and Long-Term Power Load Forecasting Method Considering Policy Factors"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9034-2607","authenticated-orcid":false,"given":"Bo","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, China"}]},{"given":"Xiaohan","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou, China"}]},{"given":"Zhenhai","family":"Dou","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, China"}]},{"given":"Lianxin","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, China"}]}],"member":"263","reference":[{"key":"ref33","first-page":"73","article-title":"Application of improving fuzzy clustering algorithm to power load forecasting","volume":"3","author":"chen","year":"2005","journal-title":"Proc Electr Power Syst Automat"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3063123"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2015.2485943"},{"key":"ref30","first-page":"71","article-title":"Line loss rate prediction based on combinatorial modeling by analytic hierarchy process-gray comprehensive relationship and multi grey models","volume":"35","author":"zhang","year":"2011","journal-title":"Power Syst Technol"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2018.06.012"},{"key":"ref11","first-page":"143","article-title":"Study on the comprehensive model of mid-long term load forecasting","volume":"40","author":"yuan","year":"2012","journal-title":"Power Syst Protection Control"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2979686"},{"key":"ref13","first-page":"167","article-title":"Medium-and long-term load forecasting based on variable weights buffer grey model","volume":"37","author":"wang","year":"2013","journal-title":"Power Syst Technol"},{"key":"ref14","first-page":"176","article-title":"A method to predict probability density of medium-term power load considering temperature factor","volume":"39","author":"he","year":"2015","journal-title":"Power Syst Technol"},{"key":"ref15","first-page":"133","article-title":"Medium and long term load forecasting model based on partial least square regression under new normal economy","volume":"38","author":"wang","year":"2018","journal-title":"Elect Power Automat Equip"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2738029"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2019.05.230"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3023143"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3051337"},{"key":"ref28","first-page":"99","article-title":"A comprehensive model for long-and medium-term load forecasting based on analytic hierarchy process and radial basis function neural network","volume":"33","author":"li","year":"2009","journal-title":"Power Syst Technol"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2016.08.031"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3066915"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1049\/iet-gtd.2016.0340"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/tee.22818"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2013.2283269"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2986031"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2922744"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2966712"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3036675"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.114087"},{"key":"ref1","first-page":"75","article-title":"Interpretative structural model of influencing factors for distribution network of new-type town","volume":"35","author":"wang","year":"2015","journal-title":"Electr Power Autom Equip"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1049\/iet-gtd.2015.1068"},{"key":"ref22","first-page":"18","article-title":"Mid-long term load forecast of power system based on data-mining","volume":"24","author":"cui","year":"2004","journal-title":"Elect Power Automat Equip"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2753802"},{"key":"ref24","first-page":"1772","article-title":"Quantitative analysis model of power load influencing factors based on improved grey relational degree","volume":"41","author":"wang","year":"2017","journal-title":"Power Syst Technol"},{"key":"ref23","first-page":"54","article-title":"Mid\/long-term load forecasting model considering urbanization characteristics","volume":"36","author":"li","year":"2016","journal-title":"Elect Power Automat Equip"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2016.04.075"},{"key":"ref25","first-page":"36","article-title":"Load preprocessing method based on grey relational analysis and fuzzy clustering","volume":"54","author":"shunfu","year":"2017","journal-title":"Electr Meas Instrum"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09627913.pdf?arnumber=9627913","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T20:50:55Z","timestamp":1662670255000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9627913\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3131237","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}