{"title":"经济、社会和气象因素对不同时间段负荷预测的影响——一项调查","authors":"Maged M. Eljazzar, E. Hemayed","doi":"10.1109/ICRAIE51050.2020.9358323","DOIUrl":null,"url":null,"abstract":"The electric Load is affected by various factors such as economic, social, and meteorological factors. This classification simplifies the studying of the correlation between these factors. It also provides a useful reference for researchers to pick up the best elements for their case according to the forecasting period; short, medium, or long term forecasting. This work introduces a comprehensive study of the factors that affect load forecasting in short, medium, and long-term load forecasting. Correlational model is applied to assess the relationship among parameters in different time horizons. The result provides two critical things to notes. Firstly, there are direct and indirect effects for some parameters based on the timeframe, and secondly, there is a significant accumulative effect of some parameters.","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of Economic, Social and Meteorological Factors on Load Forecasting in Different Timeframes-A Survey\",\"authors\":\"Maged M. Eljazzar, E. Hemayed\",\"doi\":\"10.1109/ICRAIE51050.2020.9358323\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The electric Load is affected by various factors such as economic, social, and meteorological factors. This classification simplifies the studying of the correlation between these factors. It also provides a useful reference for researchers to pick up the best elements for their case according to the forecasting period; short, medium, or long term forecasting. This work introduces a comprehensive study of the factors that affect load forecasting in short, medium, and long-term load forecasting. Correlational model is applied to assess the relationship among parameters in different time horizons. The result provides two critical things to notes. Firstly, there are direct and indirect effects for some parameters based on the timeframe, and secondly, there is a significant accumulative effect of some parameters.\",\"PeriodicalId\":149717,\"journal\":{\"name\":\"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRAIE51050.2020.9358323\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRAIE51050.2020.9358323","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Impact of Economic, Social and Meteorological Factors on Load Forecasting in Different Timeframes-A Survey
The electric Load is affected by various factors such as economic, social, and meteorological factors. This classification simplifies the studying of the correlation between these factors. It also provides a useful reference for researchers to pick up the best elements for their case according to the forecasting period; short, medium, or long term forecasting. This work introduces a comprehensive study of the factors that affect load forecasting in short, medium, and long-term load forecasting. Correlational model is applied to assess the relationship among parameters in different time horizons. The result provides two critical things to notes. Firstly, there are direct and indirect effects for some parameters based on the timeframe, and secondly, there is a significant accumulative effect of some parameters.