{"title":"农村配电合作社总能源预测模型","authors":"S. Rastogi, G. Roulet, M. Ortbals","doi":"10.1109/REPCON.1990.68519","DOIUrl":null,"url":null,"abstract":"A total energy requirements model is suggested for the electric utility planning process. It requires very little data input and time, and can be developed on a personal computer with the help of an electronic spread-sheet and/or a statistical program. Input components used in determining the energy forecast for the suggested model include population, weather, income, and a major economic activity. This method has been tested on 20 rural electric cooperatives with satisfactory results.<<ETX>>","PeriodicalId":174823,"journal":{"name":"34th Annual Conference on Rural Electric Power","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Total energy forecast model for rural distribution cooperatives\",\"authors\":\"S. Rastogi, G. Roulet, M. Ortbals\",\"doi\":\"10.1109/REPCON.1990.68519\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A total energy requirements model is suggested for the electric utility planning process. It requires very little data input and time, and can be developed on a personal computer with the help of an electronic spread-sheet and/or a statistical program. Input components used in determining the energy forecast for the suggested model include population, weather, income, and a major economic activity. This method has been tested on 20 rural electric cooperatives with satisfactory results.<<ETX>>\",\"PeriodicalId\":174823,\"journal\":{\"name\":\"34th Annual Conference on Rural Electric Power\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"34th Annual Conference on Rural Electric Power\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/REPCON.1990.68519\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"34th Annual Conference on Rural Electric Power","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/REPCON.1990.68519","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Total energy forecast model for rural distribution cooperatives
A total energy requirements model is suggested for the electric utility planning process. It requires very little data input and time, and can be developed on a personal computer with the help of an electronic spread-sheet and/or a statistical program. Input components used in determining the energy forecast for the suggested model include population, weather, income, and a major economic activity. This method has been tested on 20 rural electric cooperatives with satisfactory results.<>
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