{"title":"定性分析和理解数据质量对高级分析解决方案的影响","authors":"Jiten Deonarain, H. Albinali, M. Aljanobi","doi":"10.1109/SASG57022.2022.10201237","DOIUrl":null,"url":null,"abstract":"The Power Industry is adopting digitalization technologies available in the Industrial Revolution (IR) 4.0 era. These technologies are diverse by design, covering different assets and processes. However, they all are reliant on one common item, data. Data is available in many forms, from paper to offline digital readings to real-time field sensors. The availability and reliability (i.e., quality) of data is critical especially for Monitoring and Diagnostic (M&D) functions. This paper details the practical experience of deploying and utilizing “big data” with specific focus on data quality in Advanced Analytical Solutions. A methodology is proposed to help utilities identify areas of data quality improvement for both the deployment and utilization phases of big data projects.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"1997 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Qualitative Analysis and Understanding Impact of Data Quality on Advanced Analytical Solutions\",\"authors\":\"Jiten Deonarain, H. Albinali, M. Aljanobi\",\"doi\":\"10.1109/SASG57022.2022.10201237\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Power Industry is adopting digitalization technologies available in the Industrial Revolution (IR) 4.0 era. These technologies are diverse by design, covering different assets and processes. However, they all are reliant on one common item, data. Data is available in many forms, from paper to offline digital readings to real-time field sensors. The availability and reliability (i.e., quality) of data is critical especially for Monitoring and Diagnostic (M&D) functions. This paper details the practical experience of deploying and utilizing “big data” with specific focus on data quality in Advanced Analytical Solutions. A methodology is proposed to help utilities identify areas of data quality improvement for both the deployment and utilization phases of big data projects.\",\"PeriodicalId\":206589,\"journal\":{\"name\":\"2022 Saudi Arabia Smart Grid (SASG)\",\"volume\":\"1997 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Saudi Arabia Smart Grid (SASG)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SASG57022.2022.10201237\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Saudi Arabia Smart Grid (SASG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SASG57022.2022.10201237","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Qualitative Analysis and Understanding Impact of Data Quality on Advanced Analytical Solutions
The Power Industry is adopting digitalization technologies available in the Industrial Revolution (IR) 4.0 era. These technologies are diverse by design, covering different assets and processes. However, they all are reliant on one common item, data. Data is available in many forms, from paper to offline digital readings to real-time field sensors. The availability and reliability (i.e., quality) of data is critical especially for Monitoring and Diagnostic (M&D) functions. This paper details the practical experience of deploying and utilizing “big data” with specific focus on data quality in Advanced Analytical Solutions. A methodology is proposed to help utilities identify areas of data quality improvement for both the deployment and utilization phases of big data projects.
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