{"title":"电池储能技术的层次分析法选择","authors":"Faouzi ben Ammar, I. Hafsa, Faten Hammami","doi":"10.1109/ICEESA.2013.6578374","DOIUrl":null,"url":null,"abstract":"The objective of this study is to select the most appropriate battery technology for photovoltaic application. However, the selection criteria and the diversity of technologies make choice difficult. So, we focus on the Analytic Hierarchy Process which is among the most widely used and has been applied in several multicriteria decision making domains.","PeriodicalId":212631,"journal":{"name":"2013 International Conference on Electrical Engineering and Software Applications","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Analytic Hierarchy process selection for batteries storage technologies\",\"authors\":\"Faouzi ben Ammar, I. Hafsa, Faten Hammami\",\"doi\":\"10.1109/ICEESA.2013.6578374\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The objective of this study is to select the most appropriate battery technology for photovoltaic application. However, the selection criteria and the diversity of technologies make choice difficult. So, we focus on the Analytic Hierarchy Process which is among the most widely used and has been applied in several multicriteria decision making domains.\",\"PeriodicalId\":212631,\"journal\":{\"name\":\"2013 International Conference on Electrical Engineering and Software Applications\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Electrical Engineering and Software Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEESA.2013.6578374\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Electrical Engineering and Software Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEESA.2013.6578374","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analytic Hierarchy process selection for batteries storage technologies
The objective of this study is to select the most appropriate battery technology for photovoltaic application. However, the selection criteria and the diversity of technologies make choice difficult. So, we focus on the Analytic Hierarchy Process which is among the most widely used and has been applied in several multicriteria decision making domains.