{"title":"电力需求的天气依赖性:以温暖潮湿的热带气候为例","authors":"Deepu Jose, Mobi Mathew, A. Krishnan","doi":"10.1109/ICEES.2016.7510624","DOIUrl":null,"url":null,"abstract":"Electrical energy demand of domestic consumers depends on many factors like population, regional development, weather, electricity price, industrialization etc. For those regions having different climatic conditions in a year, it is found that the energy demand depends on prevailing weather. So a study on weather dependency of energy demand would help in accurate load forecasting and maintenance schedules. This paper aims at analyzing the trends in weather dependency in energy demand and monthly load forecasting. Linear and non linear regression models are developed. Multiple linear regression to check the dependency of energy demand on different climatic factors like temperature and relative humidity is developed. Non linear forecast model of Energy consumption as per the variation in the temperature is also developed. Energy consumption details of Attavara area, obtained from Attavar sub-station, is related with weather data obtained from Mangalore Bajpe weather station for the analysis of seasonal demand of energy demand.","PeriodicalId":308604,"journal":{"name":"2016 3rd International Conference on Electrical Energy Systems (ICEES)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Weather dependency of electricity demand: A case study in warm humid tropical climate\",\"authors\":\"Deepu Jose, Mobi Mathew, A. Krishnan\",\"doi\":\"10.1109/ICEES.2016.7510624\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Electrical energy demand of domestic consumers depends on many factors like population, regional development, weather, electricity price, industrialization etc. For those regions having different climatic conditions in a year, it is found that the energy demand depends on prevailing weather. So a study on weather dependency of energy demand would help in accurate load forecasting and maintenance schedules. This paper aims at analyzing the trends in weather dependency in energy demand and monthly load forecasting. Linear and non linear regression models are developed. Multiple linear regression to check the dependency of energy demand on different climatic factors like temperature and relative humidity is developed. Non linear forecast model of Energy consumption as per the variation in the temperature is also developed. Energy consumption details of Attavara area, obtained from Attavar sub-station, is related with weather data obtained from Mangalore Bajpe weather station for the analysis of seasonal demand of energy demand.\",\"PeriodicalId\":308604,\"journal\":{\"name\":\"2016 3rd International Conference on Electrical Energy Systems (ICEES)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 3rd International Conference on Electrical Energy Systems (ICEES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEES.2016.7510624\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd International Conference on Electrical Energy Systems (ICEES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEES.2016.7510624","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Weather dependency of electricity demand: A case study in warm humid tropical climate
Electrical energy demand of domestic consumers depends on many factors like population, regional development, weather, electricity price, industrialization etc. For those regions having different climatic conditions in a year, it is found that the energy demand depends on prevailing weather. So a study on weather dependency of energy demand would help in accurate load forecasting and maintenance schedules. This paper aims at analyzing the trends in weather dependency in energy demand and monthly load forecasting. Linear and non linear regression models are developed. Multiple linear regression to check the dependency of energy demand on different climatic factors like temperature and relative humidity is developed. Non linear forecast model of Energy consumption as per the variation in the temperature is also developed. Energy consumption details of Attavara area, obtained from Attavar sub-station, is related with weather data obtained from Mangalore Bajpe weather station for the analysis of seasonal demand of energy demand.