{"title":"Interest of Power System Data Analysis with Renewable Energy Sources","authors":"A. Ameyoud, R. Touileb, M. Boudour","doi":"10.1109/cagre.2019.8713310","DOIUrl":null,"url":null,"abstract":"In general, the impact of the data analysis of operating power systems can be characterized by abandonment of the old “paradigm”, which consists of choosing between efficiency and flexibility, or at least to bring this paradigm to a new level. This periodic analyses done by the operator staff to optimize processes are replaced by machine learning algorithms, using online data that will continually refine and optimize processes.","PeriodicalId":112293,"journal":{"name":"2019 Algerian Large Electrical Network Conference (CAGRE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Algerian Large Electrical Network Conference (CAGRE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/cagre.2019.8713310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In general, the impact of the data analysis of operating power systems can be characterized by abandonment of the old “paradigm”, which consists of choosing between efficiency and flexibility, or at least to bring this paradigm to a new level. This periodic analyses done by the operator staff to optimize processes are replaced by machine learning algorithms, using online data that will continually refine and optimize processes.
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