Multi-Objective Evolutionary Hybrid Deep Learning for energy theft detection
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DOI: 10.1016/j.apenergy.2024.122847
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- Depuru, Soma Shekara Sreenadh Reddy & Wang, Lingfeng & Devabhaktuni, Vijay, 2011. "Electricity theft: Overview, issues, prevention and a smart meter based approach to control theft," Energy Policy, Elsevier, vol. 39(2), pages 1007-1015, February.
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- Ghajar, Raymond F. & Khalife, Joseph, 2003. "Cost/benefit analysis of an AMR system to reduce electricity theft and maximize revenues for Électricité du Liban," Applied Energy, Elsevier, vol. 76(1-3), pages 25-37, September.
- Razavi, Rouzbeh & Gharipour, Amin & Fleury, Martin & Akpan, Ikpe Justice, 2019. "A practical feature-engineering framework for electricity theft detection in smart grids," Applied Energy, Elsevier, vol. 238(C), pages 481-494.
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Keywords
Electricity theft detection; Smart grid; Multi-objective optimization; Evolutionary deep learning;All these keywords.
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