High performance computing for detection of electricity theft-Reference-Cited by-同舟云学术

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High performance computing for detection of electricity theft

Published:2013-05 Issue: Volume:47 Page:21-30
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Depuru Soma Shekara Sreenadh Reddy,Wang Lingfeng,Devabhaktuni Vijay,Green Robert C.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference33 articles.

1. Electricity theft – comparative analysis;Smith;Energy Policy,2003

2. Overview of power distribution. Ministry of power, Govt. of India. .

3. Electricity thefts on the rise. .

4. Pulling the plug on energy theft, electric light and power. .

5. Electricity theft by B.C. Grow-ops costs $100M a year. .

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1. Electricity Theft Detection Using Rule-Based Machine Leaning (rML) Approach;Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji;2024-06-29

2. AI Techniques in Detection of NTLs: A Comprehensive Review;Archives of Computational Methods in Engineering;2024-06-13

3. Dynamic Generative Residual Graph Convolutional Neural Networks for Electricity Theft Detection;IEEE Access;2024

4. A Survey on Cyber-Physical Security of Active Distribution Networks in Smart Grids;IEEE Access;2024

5. Transfer learning based graph convolutional network with self-attention mechanism for abnormal electricity consumption detection;Energy Reports;2023-12

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