Stevenson, E. S., & Cook, J., & Bihl, T. (2025, March), Understanding Electricity Theft: Causes, Consequences, and AI-Based Detection  Paper presented at 2025 ASEE North Central Section  (NCS) Annual Conference, Marshall University, Huntington, West Virginia. https://peer.asee.org/54695

\bibitem{asee_peer_54695}
  Stevenson, E. S., \& Cook, J., \& Bihl, T. (2025, March), \emph{Understanding Electricity Theft: Causes, Consequences, and AI-Based Detection}
  Paper presented at 2025 ASEE North Central Section  (NCS) Annual Conference, Marshall University, Huntington, West Virginia.
  https://peer.asee.org/54695

Ethan Scott Stevenson, Jay Cook, and Trevor Bihl.  "Understanding Electricity Theft: Causes, Consequences, and AI-Based Detection".  2025 ASEE North Central Section  (NCS) Annual Conference, Marshall University, Huntington, West Virginia, 2025, March.  ASEE Conferences, 2025.  https://peer.asee.org/54695 Internet.  24 Apr, 2025

\bibitem{asee_peer_54695}
  Ethan Scott Stevenson, Jay Cook, and Trevor Bihl.
  "Understanding Electricity Theft: Causes, Consequences, and AI-Based Detection".
  \emph{2025 ASEE North Central Section  (NCS) Annual Conference, Marshall University, Huntington, West Virginia, 2025, March}.
  ASEE Conferences, 2025.
  https://peer.asee.org/54695 Internet.  24 Apr, 2025

@INPROCEEDINGS{asee_peer_54695
author = "Ethan Scott Stevenson, Jay Cook, and Trevor Bihl"
title = "Understanding Electricity Theft: Causes, Consequences, and AI-Based Detection"
booktitle = "2025 ASEE North Central Section  (NCS) Annual Conference"
year = "2025"
month = "March"
address = "Marshall University, Huntington, West Virginia"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/54695}
}

TY  - CPAPER
AB  - Electricity theft, often overlooked in both public and technical matters, poses a significant economic and social challenge for utilities.  Briefly, Electricity theft involves illicitly consuming electric power through various means, from bypassing meters, tampering with meters, to unpaid bills.  Beyond technical and safety matters, it is often correlated with poverty, weak infrastructure, and utility/government inefficiencies. The consequences of it extend beyond financial losses, and it contributes to power outages, imbalances in systems, and higher costs for honest consumers. This review explores the scope and impact of electricity theft in America compared to other countries, examining current prevention strategies and emerging solutions. Special focus is placed on the role of AI and machine learning, which show promising potential in detecting and mitigating electricity theft through advanced technological approaches.
AU  - Ethan Scott Stevenson
AU  - Jay Cook
AU  - Trevor Bihl
CY  - Marshall University, Huntington, West Virginia
DA  - 2025/03/28
PB  - ASEE Conferences
TI  - Understanding Electricity Theft: Causes, Consequences, and AI-Based Detection
UR  - https://peer.asee.org/54695
ER  -