{"title":"利用神经模糊网络模型进行月流量预测","authors":"M. Valença, Teresa B Ludermir","doi":"10.1109/SBRN.2000.889724","DOIUrl":null,"url":null,"abstract":"This paper presents an fuzzy neural network model for inflow forecast for the Sobradinho hydroelectric power plant, part of the Chesf (Companhia Hidreletrica do Sao Francisco-Brazil) system. The model was implemented to forecast monthly average inflow on an one-step-ahead basis. The fuzzy neural network model is shown to provide better representation of the monthly average water inflow forecasting, than the models based on Box-Jenkins method, currently in use on the Brazilian electrical sector.","PeriodicalId":448461,"journal":{"name":"Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Monthly stream flow forecasting using an neural fuzzy network model\",\"authors\":\"M. Valença, Teresa B Ludermir\",\"doi\":\"10.1109/SBRN.2000.889724\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an fuzzy neural network model for inflow forecast for the Sobradinho hydroelectric power plant, part of the Chesf (Companhia Hidreletrica do Sao Francisco-Brazil) system. The model was implemented to forecast monthly average inflow on an one-step-ahead basis. The fuzzy neural network model is shown to provide better representation of the monthly average water inflow forecasting, than the models based on Box-Jenkins method, currently in use on the Brazilian electrical sector.\",\"PeriodicalId\":448461,\"journal\":{\"name\":\"Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SBRN.2000.889724\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SBRN.2000.889724","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Monthly stream flow forecasting using an neural fuzzy network model
This paper presents an fuzzy neural network model for inflow forecast for the Sobradinho hydroelectric power plant, part of the Chesf (Companhia Hidreletrica do Sao Francisco-Brazil) system. The model was implemented to forecast monthly average inflow on an one-step-ahead basis. The fuzzy neural network model is shown to provide better representation of the monthly average water inflow forecasting, than the models based on Box-Jenkins method, currently in use on the Brazilian electrical sector.
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