A novel feature engineered-CatBoost-based supervised machine learning framework for electricity theft detection

This paper presents a novel supervised machine learning-based electric theft detection approach using the feature engineered-CatBoost algorithm in conjunction with the SMOTETomek algorithm. Contrary to the previous literature, where the missing observations in data are either ignored or imputed with...

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Main Authors: Hussain, Saddam, Mustafa, Mohd. Wazir, A. Jumani, Touqeer, Baloch, Shadi Khan, Alotaibi, Hammad, Khan, Ilyas, Khan, Afrasyab
格式: Article
语言:English
出版: Elsevier Ltd 2021
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在线阅读:http://eprints.utm.my/id/eprint/95358/1/SaddamHussain2021_ANovelFeatureEngineeredCatBoost.pdf
http://eprints.utm.my/id/eprint/95358/
http://dx.doi.org/10.1016/j.egyr.2021.07.008
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