Вход на сайт

Просмотр новости

Найдите то, что Вас интересует

Maharashtra deploys AI to detect power theft, flags 28,000 cases in 3 months

Дата публикации: 17-09-2026 12:25:54

The utility deployed more than 190 flying squads after its AI and machine learning module identified unusual electricity consumption patterns.

Основное содержимое страницы с новостью.

MSEDCL’s new AI-based system detected 27,964 power theft cases involving electricity worth Rs 66.28 crore during June-August 2026.

MSEDCL’s new AI-based system detected 27,964 power theft cases involving electricity worth Rs 66.28 crore during June-August 2026.

Using a new AI-based system, Maharashtra’s power distribution utility has detected 27,964 cases of power theft involving electricity worth Rs 66.28 crore during June-August 2026.

Maharashtra State Electricity Distribution Company Limited (MSEDCL) has deployed more than 190 flying squads across Maharashtra to act on intelligence generated by the AI system, an official release said on Thursday. During the three-month drive, the Konkan region recorded the highest number of cases at 11,083, followed by Nagpur with 5,949, Pune with 5,849 and Chhatrapati Sambhajinagar with 5,083 cases.

AI module tracks unusual consumption patterns

MSEDCL has developed this artificial intelligence and machine learning module that analyses electricity consumption data round the clock to identify unusual patterns that could point to theft or meter tampering. This system tracks more than 50 technical parameters, including a consumer’s past electricity consumption, sudden increases or drops in usage and unusual meter behaviour. Consumers whose consumption patterns are flagged as suspicious are placed in a ‘high-risk’ category, allowing enforcement teams to focus their inspections on specific locations. This marks a shift from conventional inspections, where field teams would often have to conduct surveys before identifying potential cases of theft.

MSEDCL has also digitised the entire enforcement process through its Theft Tracking and Monitoring System (TTMS) mobile application. The system uploads inspection details, photographs, digital panchnamas, power disconnections, and penalty recoveries in real time.

MSEDCL recovers ₹29.85 crore

Of the 27,964 theft cases detected, MSEDCL issued assessment bills worth ₹66.28 crore in 24,508 verified cases. The utility has recovered ₹29.85 crore so far from 10,810 settled cases. Consumers who fail to pay the assessed amount and applicable compounding fees within the stipulated period face legal action. MSEDCL has already registered 289 criminal cases under Section 135 of the Electricity Act. Electricity theft can attract penalties and imprisonment of up to three years.

The AI-led enforcement drive is part of MSEDCL’s larger effort to bring down its Aggregate Technical and Commercial losses below 10% over the next three years. Lokesh Chandra, Additional Chief Secretary to the Chief Minister and Chairman and Managing Director of MSEDCL, said the utility is focusing on recovering outstanding dues and intensifying its campaign against electricity theft.

Published on September 17, 2026

Схожие новости

#Наименование новостиТональностьИнформативностьДата публикации
1Maharashtra discom MSEDCL adopts AI, ML module to detect power theft01019-09-2026
2Искусственный интеллект выявил в Подмосковье более 4 тыс. случаев незаконной торговли0012-09-2023
3Maharashtra SIR: 30% electorate likely to be disenfranchised, says Congress014.0122-09-2026
4NtechLab: отечественный ИИ предотвратил кражи более чем на 2 млрд рублей0023-09-2025
5В Подмосковье к нейросети для выявления незаконных мест торговли подключат 3 тыс. камер0018-07-2023
6Более тысячи нарушений правил благоустройства выявил ИИ в Петербурге за шесть месяцев0501-07-2026
7В Подмосковье с помощью нейросети выявили около 300 случаев стихийной торговли0012-05-2023
8Более 200 незаконных подключений к сетям выявили в Калининградской области012.515-08-2026
9Хищения электроэнергии почти на 150 млн рублей выявили в Московском регионе за I квартал0020-08-2020

Классификация: . Схожих патентов: 0. Схожих новостей: 9. Тональность: 0. Информативность: 18.22. Источник: www.thehindubusinessline.com.