Daniele Carta, Marcel Zimmer, T. Pesch, A. Benigni
{"title":"Bad Data Detection and Handling in ICT Platforms for Energy Systems","authors":"Daniele Carta, Marcel Zimmer, T. Pesch, A. Benigni","doi":"10.1109/AMPS55790.2022.9978880","DOIUrl":null,"url":null,"abstract":"In this paper, we present a modular tool for bad data detection, handling and recovery in ICT platforms. The proposed tool can be easily applied to platforms with different structures to perform online and offline analysis aimed at monitoring the data quality, recovering bad data, and investigating the proper operation of the platform’s components. Firstly, the considered framework is introduced, then each module is described underlying its characteristics. Moreover, we present and discuss the results obtained by means of the recovery tool on a real test case.","PeriodicalId":253296,"journal":{"name":"2022 IEEE 12th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 12th International Workshop on Applied Measurements for Power Systems (AMPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMPS55790.2022.9978880","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 this paper, we present a modular tool for bad data detection, handling and recovery in ICT platforms. The proposed tool can be easily applied to platforms with different structures to perform online and offline analysis aimed at monitoring the data quality, recovering bad data, and investigating the proper operation of the platform’s components. Firstly, the considered framework is introduced, then each module is described underlying its characteristics. Moreover, we present and discuss the results obtained by means of the recovery tool on a real test case.