Electricity theft detection using supervised learning techniques on smart meter data

Zahoor Ali Khan; Muhammad Adil; Nadeem Javaid; Malik Najmus Saqib; Muhammad Shafiq; Jin Ghoo Choi

doi:10.3390/su12198023

Electricity theft detection using supervised learning techniques on smart meter data

Zahoor Ali Khan, Muhammad Adil, Nadeem Javaid, Malik Najmus Saqib, Muhammad Shafiq, Jin Ghoo Choi

科研成果: 期刊稿件 › 文章 › 同行评审

源语言	英语
文章编号	8023
页（从-至）	1-25
页数	25
期刊	Sustainability
卷	12
期	19
DOI	https://doi.org/10.3390/su12198023
出版状态	已出版 - 10月 1 2020
已对外发布	是

!!!ASJC Scopus Subject Areas

地理、规划与发展
可再生能源、可持续发展与环境
环境科学（杂项）
能源工程与电力技术
管理、监测、政策和法律

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

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10.3390/su12198023

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title = "Electricity theft detection using supervised learning techniques on smart meter data",

author = "Khan, {Zahoor Ali} and Muhammad Adil and Nadeem Javaid and Saqib, {Malik Najmus} and Muhammad Shafiq and Choi, {Jin Ghoo}",

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AU - Khan, Zahoor Ali

AU - Adil, Muhammad

AU - Javaid, Nadeem

AU - Saqib, Malik Najmus

AU - Shafiq, Muhammad

AU - Choi, Jin Ghoo

N1 - Funding Information: Funding: This work was supported by the Basic Science Research Program through the National Research Foundation (NRF) of Korea funded by the Ministry of Education under Grant 2018R1D1A1B07048948. Publisher Copyright: © 2020 by the authors. Licensee MDPI, Basel, Switzerland.

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JO - Sustainability

JF - Sustainability

IS - 19

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ER -

Electricity theft detection using supervised learning techniques on smart meter data

!!!ASJC Scopus Subject Areas

联合国可持续发展目标

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