Gradient boosting and Shapley additive explanations for fraud detection in electricity distribution grids-Reference-Cited by-同舟云学术

Gradient boosting and Shapley additive explanations for fraud detection in electricity distribution grids

Published:2021-08-17 Issue:9 Volume:31 Page:
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:Int Trans Electr Energ Syst

Author:

Santos Ricardo N.¹^ORCID,Yamouni Sami¹²,Albiero Beatriz¹,Vicente Renato¹²³^ORCID,Silva Juliano⁴,Souza Tales⁴,Freitas Souza Mario⁴,Lei Zhili⁵

Affiliation:

1. Experian Datalab Latin America São Paulo Brazil

2. Advanced Institute for Artificial Intelligence São Paulo Brazil

3. Department of Applied Mathematics, Institute of Mathematics and Statistics University of São Paulo São Paulo Brazil

4. CPFL Energia Campinas Brazil

5. State Grid International Development Co. Ltd Beijing China

Funder

Agência Nacional de Energia Elétrica

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.13046

Reference56 articles.

1. The Challenge of Non-Technical Loss Detection Using Artificial Intelligence: A Survey

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3. PR Newswire.$96 Billion is lost every year to electricity theft.2017.https://www.prnewswire.com/news-releases/96-billion-is-lost-every-year-to-electricity-theft-300453411.html.

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