Mumbai: Adani Electric on Wednesday announced that it has strengthened its commitment to providing fair and reliable power by deploying an advanced theft prediction and revenue protection module based on machine learning (ML) and meter data technology across its power distribution network.
This initiative aims to curb power theft, protect genuine customers, and strengthen transparent and efficient governance of the power ecosystem.
The company released a machine learning-based theft prediction module in January.
Since then, “we have detected power theft of 5 million units (MU) worth a total of Rs 8.59 billion,” Adani Electric said in a statement.
In a recent high-stakes case, the technology uncovered a direct supply theft at an electroplating unit in Malad (West Virginia) involving 0.4 MU worth Rs 8.7 million. The company says these advanced tools enable faster data-driven action, ensure fairness, and protect honest consumers from the burden of illegal use.
While surveillance efforts have been strategically focused on high-risk areas based on monitoring and reliable intelligence, the integration of machine learning modules has strengthened governance through comprehensive theft analysis.
“We are fully committed to leveraging advanced technology to ensure reliable and safe power supply,” an Adani Electric spokesperson said.
“The integration of machine learning has enhanced theft detection, strengthened governance, and protected genuine customers from the effects of fraud. This reflects our vision for a smarter, more sustainable energy future,” the spokesperson added.
Powered by machine learning modules, the system automates data analysis, detects pattern-based anomalies, and accelerates theft identification.
Analyzing customer profiles and consumption patterns accurately flags potential cases, enabling faster response times, targeted inspections, and informed decision-making.
The company says this data-driven approach not only strengthens enforcement, but also reduces operational costs and ensures fairness and trust for consumers.
