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- W4285103622 abstract "This paper presents a data-driven framework for utilizing smart meter data to identify severely overloaded trans-formers in a distribution system with fully deployed advanced metering infrastructure. First, the data quality issues in the smart meter data are identified and processed before building the transformer load profiles. Then, the temperature estimation model from IEEE C57.91-2011 standard is utilized to estimate the winding hot-spot temperature and the aging of transformer insulation life. These parameters are utilized to identify and analyze the severity of overloaded transformers. Raw smart meter data collected from a utility in North Carolina with 1415 distribution transformers is utilized for evaluating the framework." @default.
- W4285103622 created "2022-07-14" @default.
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- W4285103622 date "2022-04-24" @default.
- W4285103622 modified "2023-10-14" @default.
- W4285103622 title "Overloading Analysis of Distribution Transformers using Smart Meter Data" @default.
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- W4285103622 doi "https://doi.org/10.1109/isgt50606.2022.9817534" @default.
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