Artificial Intelligence-Based Detection of Inefficiencies in Natural Gas Consumption
Received: 2026-07-15 14:49:45
Published: 2026-04-18
Abstract
This article proposes an artificial intelligence-based approach for detecting inefficiencies in natural gas consumption. The methodology combines mathematical modeling, statistical analysis, and clustering techniques. A synthetic dataset closely reflecting real-world conditions was developed and analyzed. The results demonstrate that the proposed approach can identify inefficient consumption and distinguish it from temperature-related effects. The model may be integrated into gas monitoring systems to improve energy efficiency.
Keywords
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