#electricity-theft News & Analysis

2 articles tagged with #electricity-theft. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · May 126/10

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Transformer autoencoder with local attention for sparse and irregular time series with application on risk estimation

Researchers present a Transformer Autoencoder framework with local attention mechanisms designed to detect non-technical losses (electricity theft) in power grids using sparse, irregular time series data. The model demonstrates superior performance in risk estimation for Greek electrical systems compared to existing methods, achieving high recall and precision while effectively handling data collection irregularities.

AIBullisharXiv – CS AI · Apr 76/10

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Towards Intelligent Energy Security: A Unified Spatio-Temporal and Graph Learning Framework for Scalable Electricity Theft Detection in Smart Grids

Researchers have developed SmartGuard Energy Intelligence System (SGEIS), an AI framework that combines machine learning, deep learning, and graph neural networks to detect electricity theft in smart grids. The system achieved 96% accuracy in identifying high-risk nodes and demonstrates strong performance with practical applications for energy security.