{"title":"基于消费者预算的智能建筑能源管理策略:实验实施视角","authors":"Khaled Khezzane, M. Doumbia, F. Khoucha","doi":"10.1109/SMART55236.2022.9990414","DOIUrl":null,"url":null,"abstract":"This paper presents a demand-side load management technique to manage the consumption in residential buildings by maximizing the user’s satisfaction at minimal cost or within a predefined budget. The load satisfaction algorithm has been developed based on three postulations making it possible to quantify the satisfaction. This algorithm used a genetic algorithm (GA) and it offers a good convergence speed, great flexibility and good efficiency compared to conventional techniques.","PeriodicalId":432948,"journal":{"name":"2022 Second International Conference on Sustainable Mobility Applications, Renewables and Technology (SMART)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Smart Buildings Energy Management Strategy Based on Consumer Budget: Experimental Implementation Perspective\",\"authors\":\"Khaled Khezzane, M. Doumbia, F. Khoucha\",\"doi\":\"10.1109/SMART55236.2022.9990414\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a demand-side load management technique to manage the consumption in residential buildings by maximizing the user’s satisfaction at minimal cost or within a predefined budget. The load satisfaction algorithm has been developed based on three postulations making it possible to quantify the satisfaction. This algorithm used a genetic algorithm (GA) and it offers a good convergence speed, great flexibility and good efficiency compared to conventional techniques.\",\"PeriodicalId\":432948,\"journal\":{\"name\":\"2022 Second International Conference on Sustainable Mobility Applications, Renewables and Technology (SMART)\",\"volume\":\"147 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Second International Conference on Sustainable Mobility Applications, Renewables and Technology (SMART)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SMART55236.2022.9990414\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Second International Conference on Sustainable Mobility Applications, Renewables and Technology (SMART)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMART55236.2022.9990414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Smart Buildings Energy Management Strategy Based on Consumer Budget: Experimental Implementation Perspective
This paper presents a demand-side load management technique to manage the consumption in residential buildings by maximizing the user’s satisfaction at minimal cost or within a predefined budget. The load satisfaction algorithm has been developed based on three postulations making it possible to quantify the satisfaction. This algorithm used a genetic algorithm (GA) and it offers a good convergence speed, great flexibility and good efficiency compared to conventional techniques.