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Introduction to UAN Power Equipment Condition Datasets

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Document pages: 8 pages

Abstract: Power systems are equipment and data intensive. In todays big data era, alarge amount of data is being generated from power system equipment via variousinspection and testing activities. The industry is encouraged to make optimaldecisions for power equipment maintenance, replacement, configuration andplanning. Utility companies are trying to leverage the use of big data andadvanced analytics for equipment management in order to balance systemreliability, performance and cost. To advance such applications and promotecollaborations with external researchers, the Utility Analytics Network hasmade the effort to gather 15 datasets from multiple utility companies in NorthAmerica on various types of power equipment. These datasets are now shared inpublic and this paper serves the purpose of providing a detailed introductionto the datasets.

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