{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T22:18:54Z","timestamp":1775081934785,"version":"3.50.1"},"reference-count":32,"publisher":"Wiley","license":[{"start":{"date-parts":[[2023,3,24]],"date-time":"2023-03-24T00:00:00Z","timestamp":1679616000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100017630","name":"Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China","doi-asserted-by":"publisher","award":["21YJA630030"],"award-info":[{"award-number":["21YJA630030"]}],"id":[{"id":"10.13039\/501100017630","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2023,3,24]]},"abstract":"<jats:p>Electric vehicles are not widely adopted without proper charging infrastructure, despite their environmental benefits and growing popularity in transportation. This paper focuses on the location problem of charging infrastructure to achieve a more optimized charging facility layout. The charging demands of electric vehicles can be divided into two categories. The first category is generated at network points such as shopping malls, office buildings, parking lots, and residential areas. The second category is generated along the flow of network paths, such as on the highway and on the way to and from work. The goal of this problem is to maximize both categories of charging demands using a nonlinear integer programming model. We introduce the spatial intersection model to obtain the data on path demand. The spatial intersection model is introduced to obtain data on path demand. In addition, future demand is taken into account in the optimization through data forecasting. Then, the greedy algorithm is designed to solve the optimization model. The effectiveness is proved by a lot of random experiments. Finally, the effects of parameters are analyzed by a case study. The location decision of charging stations for both demands is more reasonable than only one type of demand consideration. The proposed model ensures the coverage and appropriate extension of the charging network.<\/jats:p>","DOI":"10.1155\/2023\/9567183","type":"journal-article","created":{"date-parts":[[2023,3,24]],"date-time":"2023-03-24T22:50:06Z","timestamp":1679698206000},"page":"1-11","source":"Crossref","is-referenced-by-count":5,"title":["Electric Vehicle Charging Infrastructure Location Optimization with Mixed and Forecasted Charging Requirements"],"prefix":"10.1155","volume":"2023","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5976-2390","authenticated-orcid":true,"given":"Dandan","family":"Hu","sequence":"first","affiliation":[{"name":"School of Management, South-Central Minzu University, Wuhan 430074, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0635-4032","authenticated-orcid":true,"given":"Shuxuan","family":"Cai","sequence":"additional","affiliation":[{"name":"School of Management, South-Central Minzu University, Wuhan 430074, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3005-1792","authenticated-orcid":true,"given":"Zhi-Wei","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China"},{"name":"Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, Huazhong University of Science and Technology, Wuhan 430074, China"}]}],"member":"311","reference":[{"key":"1","article-title":"Notice of the General Office of the State Council on Printing and Distributing the Development Plan of New Energy Vehicle Industry","author":"Miit","year":"2021"},{"key":"2","article-title":"How Can Charging Service Market Develop Healthily in China","author":"N R D C"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2021.111719"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1111\/j.1435-5597.1974.tb00902.x"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2016.08.061"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/j.tra.2016.01.014"},{"key":"7","article-title":"Optimization design of electric vehicle charging stations based on the forecasting data with service balance consideration","volume":"75","author":"D. Hu","year":"2018","journal-title":"Applied Soft Computing"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/tte.2020.2964141"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.26.3.201"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2014.10.029"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2014.01.008"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.07.025"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1016\/j.trd.2019.06.005"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2020.12.001"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1016\/j.orp.2018.11.001"},{"key":"16","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1016\/j.trc.2019.08.009","article-title":"Multistage large-scale charging station planning for electric buses considering transportation network and power grid","volume":"107","author":"Y. Lin","year":"2019","journal-title":"Transportation Research Part C: Emerging Technologies"},{"key":"17","volume-title":"Spatial Interaction Models: Formulations and Applications","author":"A. S. Fotheringham","year":"1989"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2017.04.012"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1007\/s12351-021-00681-y"},{"key":"20","volume-title":"Fostering New Kinetic Energy from the Perspective of New Energy Vehicles","author":"N E A"},{"key":"21","article-title":"Improved Anti-occlusion Object Tracking Algorithm Using Unscented Rauch-Tung-Striebel Smoother and Kernel Correlation Filter","volume":"34","author":"R. Xia","year":"2022","journal-title":"Journal of King Saud University - Computer and Information Sciences"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-020-02778-2"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/8508702"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-020-02116-1"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1111\/j.1538-4632.1990.tb00210.x"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1109\/tii.2020.2990206"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1109\/tnet.2020.3034890"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.3390\/en9090684"},{"key":"29","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.epsr.2016.03.005","article-title":"Nonlinear autoregressive neural network in an energy management strategy for battery\/ultra-capacitor hybrid electrical vehicles","volume":"136","author":"M. Ibrahim","year":"2016","journal-title":"Electric Power Systems Research"},{"key":"30","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.09.059"},{"key":"31","doi-asserted-by":"publisher","DOI":"10.11591\/telkomnika.v11i4.2544"},{"key":"32","doi-asserted-by":"publisher","DOI":"10.1016\/j.seps.2004.03.001"}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2023\/9567183.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2023\/9567183.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2023\/9567183.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,24]],"date-time":"2023-03-24T22:50:12Z","timestamp":1679698212000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/complexity\/2023\/9567183\/"}},"subtitle":[],"editor":[{"given":"Wenjie","family":"Lu","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2023,3,24]]},"references-count":32,"alternative-id":["9567183","9567183"],"URL":"https:\/\/doi.org\/10.1155\/2023\/9567183","relation":{},"ISSN":["1099-0526","1076-2787"],"issn-type":[{"value":"1099-0526","type":"electronic"},{"value":"1076-2787","type":"print"}],"subject":[],"published":{"date-parts":[[2023,3,24]]}}}