{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T17:46:02Z","timestamp":1780335962020,"version":"3.54.1"},"reference-count":22,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"name":"Postgraduate Research and Practice Innovation Program of Jiangsu Province","award":["KYCX18_0317"],"award-info":[{"award-number":["KYCX18_0317"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2018.2881888","type":"journal-article","created":{"date-parts":[[2018,11,26]],"date-time":"2018-11-26T19:17:21Z","timestamp":1543259841000},"page":"2823-2827","source":"Crossref","is-referenced-by-count":43,"title":["An Improved Model Combining Evolutionary Algorithm and Neural Networks for PV Maximum Power Point Tracking"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1101-9132","authenticated-orcid":false,"given":"Haixin","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianxin","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","first-page":"100","article-title":"PV array output power forecasting based on similar day and RBFNN","volume":"33","author":"wang","year":"2013","journal-title":"Elect Power Automat Equip"},{"key":"ref11","first-page":"93","article-title":"A short-term prediction model to forecast output power of photovoltaic system based on improved bp neural network","volume":"40","author":"ding","year":"2012","journal-title":"Power Syst Protection Control"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/POWERI.2016.8077445"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/YAC.2017.7967439"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2016.2598240"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2015.2436333"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2013.2271214"},{"key":"ref17","first-page":"497","article-title":"Maximum power point tracking techniques for solar water pumping systems","volume":"13","author":"daoud","year":"2010","journal-title":"Revue Des Energies Renouvelables"},{"key":"ref18","first-page":"100","article-title":"PV array output power forecasting based on similar day and RBFNN","volume":"33","author":"wang","year":"2013","journal-title":"Elect Power Automat Equip"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2011.10.021"},{"key":"ref4","first-page":"53","author":"liu","year":"2013","journal-title":"GA-BPNN based tracking control of photovoltaic maximum power point"},{"key":"ref3","first-page":"118","article-title":"An ultra-short-term wind speed prediction model based on improved BP neural network with real-time correction","volume":"32","author":"zhang","year":"2016","journal-title":"Power System and Clean Energy"},{"key":"ref6","first-page":"56","article-title":"Hysteresis loop tracking algorithm for maximum PV power point based on optimal gradient","volume":"36","author":"liu","year":"2012","journal-title":"Power Grid Technology"},{"key":"ref5","first-page":"49","article-title":"Application of recursive least squares estimation in photovoltaic system MPPT","volume":"49","author":"nie","year":"2012","journal-title":"Elect Meas Instrum"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3901\/JME.2015.09.082"},{"key":"ref7","first-page":"266","author":"chuan","year":"2013","journal-title":"43 Case Analysis of MATLAB Neural Network"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2008.12.032"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1049\/ip-gtd:20000605","article-title":"application of radial basis function networks for solar-array modelling and maximum power-point prediction","volume":"147","author":"al-amoudi","year":"2000","journal-title":"Generation Transmission and Distribution IEE Proceedings-"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/AMM.217-219.809"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2014.2300162"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1109\/CJECE.2016.2606357","article-title":"Two-diode model-based nonlinear MPPT controller for PV systems","volume":"40","author":"taheri","year":"2007","journal-title":"Can J Elect Comput Eng"},{"key":"ref21","first-page":"1","article-title":"Modelling and simulation of a MEA twin generator UAV electrical power system","author":"rakhra","year":"2011","journal-title":"46th Int'l Universities' Power Eng Conf (UPEC)"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08544002.pdf?arnumber=8544002","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,6]],"date-time":"2022-09-06T22:44:31Z","timestamp":1662504271000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8544002\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2881888","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}