{"title":"Applications of Artificial Neural Networks With Input and output Degradation data for Renewable Energy Systems Fault Prognosis","authors":"Arij Nasfia Hayder, L. Saidi","doi":"10.1109/IREC52758.2021.9624894","DOIUrl":null,"url":null,"abstract":"This paper deal with the application of neural networks (NN) for power systems failures prognosis. The NN-based prediction method is called long-term prediction, where predicted degradations are used to predict the degradation at a further future time. The proposed method predicts degradation accurately with very small uncertainty","PeriodicalId":266552,"journal":{"name":"2021 12th International Renewable Energy Congress (IREC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 12th International Renewable Energy Congress (IREC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IREC52758.2021.9624894","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper deal with the application of neural networks (NN) for power systems failures prognosis. The NN-based prediction method is called long-term prediction, where predicted degradations are used to predict the degradation at a further future time. The proposed method predicts degradation accurately with very small uncertainty