{"title":"Electricity Short Term Load Forecasting Using Elman Recurrent Neural Network","authors":"S. N., Anup Yelamali, K. Byahatti","doi":"10.1109/ARTCOM.2010.44","DOIUrl":null,"url":null,"abstract":"The proposed work aimed to forecasting the load by using Artificial Neural Networks (ANN). Short term load forecasting plays an important role for the planning, economic and reliable operation of power systems. Therefore, many statistical methods have b","PeriodicalId":398854,"journal":{"name":"2010 International Conference on Advances in Recent Technologies in Communication and Computing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Advances in Recent Technologies in Communication and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARTCOM.2010.44","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
The proposed work aimed to forecasting the load by using Artificial Neural Networks (ANN). Short term load forecasting plays an important role for the planning, economic and reliable operation of power systems. Therefore, many statistical methods have b
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