Mumbai, December 3 (IANS). Adani Electricity has further strengthened its commitment to ensure fair and reliable power supply. The company has implemented advanced theft prediction and revenue protection modules based on machine learning (ML) and smart meter data across its entire distribution network.
The objective of this initiative is to prevent electricity theft, protect honest consumers and promote a more transparent and efficient energy system.
The company said that since the machine learning based theft prediction module became operational from January 2025, Adani Electricity has detected a total of 5.0 million units (MU) of electricity theft, valued at Rs 8.59 crore. Recently, with the help of this technology, theft of 0.4 million units (MU) being done through direct connection in an electroplating unit located at Malad (West) was detected, the estimated monetary cost of which was Rs 87 lakh.
These state-of-the-art digital systems enable rapid and data-driven action, ensuring fairness in the power system and protecting honest consumers from the financial burden of illegal usage.
Adani Electricity said the vigilance actions are strategically focused on high-risk areas, where action is being taken based on surveillance and credible intelligence. Integration of Machine Learning (ML) modules has further strengthened governance and compliance through comprehensive piracy analysis.
Commenting on the implementation of machine learning based technology, Adani Electricity spokesperson said, “We are committed to using advanced technology to ensure reliable and safe power supply. The integration of machine learning has enhanced the ability to detect power theft, strengthened monitoring and operations and provided protection to honest consumers from the impact of illegal consumption. This reflects our vision of a smart and environment-friendly energy future.”
According to the company, this machine learning based system performs automated data analysis, identifies pattern-based irregularities and increases the speed of detection of power theft cases. By analyzing consumer profiles and consumption patterns, it pinpoints potential issues, enabling prompt action, targeted monitoring and informed decision making.
This data-driven approach not only strengthens enforcement but also ensures fairness, transparency and reliable power supply to consumers by reducing operational costs.
–IANS
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