{"title":"国内建筑密度估算网规划","authors":"J. Booysen, M. Dekenah, L. Sethlogo","doi":"10.1109/DUE.2014.6827765","DOIUrl":null,"url":null,"abstract":"Domestic building density estimates per living standards measure (LSM) in South Africa was needed to produce energy density estimates for network planning by means of the Eskom Geo Load Forecasting system (GLF). Building density estimates for domestic buildings was calculated by linking complex spatial data, using spatial filtering and algorithms to find domestic building density estimates per LSM group in South Africa that is based on reality. Building density estimates can then be combined with domestic load research data (DLR) to calculate domestic energy density. The focus of this paper was on the specific task of calculating domestic building density per LSM in South Africa as no published measures currently exist at a National level.","PeriodicalId":112427,"journal":{"name":"Twenty-Second Domestic Use of Energy","volume":"121 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Domestic building density estimates for network planning\",\"authors\":\"J. Booysen, M. Dekenah, L. Sethlogo\",\"doi\":\"10.1109/DUE.2014.6827765\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Domestic building density estimates per living standards measure (LSM) in South Africa was needed to produce energy density estimates for network planning by means of the Eskom Geo Load Forecasting system (GLF). Building density estimates for domestic buildings was calculated by linking complex spatial data, using spatial filtering and algorithms to find domestic building density estimates per LSM group in South Africa that is based on reality. Building density estimates can then be combined with domestic load research data (DLR) to calculate domestic energy density. The focus of this paper was on the specific task of calculating domestic building density per LSM in South Africa as no published measures currently exist at a National level.\",\"PeriodicalId\":112427,\"journal\":{\"name\":\"Twenty-Second Domestic Use of Energy\",\"volume\":\"121 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Twenty-Second Domestic Use of Energy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DUE.2014.6827765\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Twenty-Second Domestic Use of Energy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DUE.2014.6827765","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Domestic building density estimates for network planning
Domestic building density estimates per living standards measure (LSM) in South Africa was needed to produce energy density estimates for network planning by means of the Eskom Geo Load Forecasting system (GLF). Building density estimates for domestic buildings was calculated by linking complex spatial data, using spatial filtering and algorithms to find domestic building density estimates per LSM group in South Africa that is based on reality. Building density estimates can then be combined with domestic load research data (DLR) to calculate domestic energy density. The focus of this paper was on the specific task of calculating domestic building density per LSM in South Africa as no published measures currently exist at a National level.