{"title":"利用人工智能技术优化商业建筑采光","authors":"Gaurav B. Patil, Shravan Vishwakarma","doi":"10.24113/ijoscience.v7i9.429","DOIUrl":null,"url":null,"abstract":"As Energy consumption in buildings increases considerably from year to year due to the increase in human comfort needs and services . In addition to weather conditions, several factors influence the energy consumption for cooling buildings, such as the structure of the walls, the window-to-wall ratio and the orientation of the building. The energy consumption of buildings has been reported to represent a relatively large proportion of global energy consumption.","PeriodicalId":429424,"journal":{"name":"SMART MOVES JOURNAL IJOSCIENCE","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Daylight Harvesting Optimization for Commercial Buildings using AI Technique\",\"authors\":\"Gaurav B. Patil, Shravan Vishwakarma\",\"doi\":\"10.24113/ijoscience.v7i9.429\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As Energy consumption in buildings increases considerably from year to year due to the increase in human comfort needs and services . In addition to weather conditions, several factors influence the energy consumption for cooling buildings, such as the structure of the walls, the window-to-wall ratio and the orientation of the building. The energy consumption of buildings has been reported to represent a relatively large proportion of global energy consumption.\",\"PeriodicalId\":429424,\"journal\":{\"name\":\"SMART MOVES JOURNAL IJOSCIENCE\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SMART MOVES JOURNAL IJOSCIENCE\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24113/ijoscience.v7i9.429\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SMART MOVES JOURNAL IJOSCIENCE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24113/ijoscience.v7i9.429","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Daylight Harvesting Optimization for Commercial Buildings using AI Technique
As Energy consumption in buildings increases considerably from year to year due to the increase in human comfort needs and services . In addition to weather conditions, several factors influence the energy consumption for cooling buildings, such as the structure of the walls, the window-to-wall ratio and the orientation of the building. The energy consumption of buildings has been reported to represent a relatively large proportion of global energy consumption.