G. Lambert-Torres, C.O. Traore, F. Mandolesi, D. Mukhedkar
{"title":"Short-term load forecasting using a fuzzy engineering tool","authors":"G. Lambert-Torres, C.O. Traore, F. Mandolesi, D. Mukhedkar","doi":"10.1109/ANN.1991.213494","DOIUrl":null,"url":null,"abstract":"The authors describe a knowledge engineering tool for short-term load forecasting to be used as an aid in operation and planning of distribution systems. This engineering tool is composed by two parts. Firstly, an artificial neural network is trained to produce the first evaluation of forecasted load. Following, a fuzzy expert system manipulate actual and forecasted values of real power and weather conditions to find the final forecasted load. Illustrative examples are presented using Hydro-Quebec Power System data.<<ETX>>","PeriodicalId":119713,"journal":{"name":"Proceedings of the First International Forum on Applications of Neural Networks to Power Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the First International Forum on Applications of Neural Networks to Power Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANN.1991.213494","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
The authors describe a knowledge engineering tool for short-term load forecasting to be used as an aid in operation and planning of distribution systems. This engineering tool is composed by two parts. Firstly, an artificial neural network is trained to produce the first evaluation of forecasted load. Following, a fuzzy expert system manipulate actual and forecasted values of real power and weather conditions to find the final forecasted load. Illustrative examples are presented using Hydro-Quebec Power System data.<>
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
