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Home » Videos » AI is building an energy-efficient culture, cutting greenhouse gas emissions

AI is building an energy-efficient culture, cutting greenhouse gas emissions

October 16, 2025 6:35 pm

By leveraging AI in various use cases, utilities can reduce costs, improve efficiency, and enhance customer engagement.

Our goal is to foster an energy-efficient culture that equitably reduces greenhouse gas emissions and mitigates climate change. The power sector in India has grown with a CAGR of around 5 percent over the last decade. Per capita consumption has increased from 1000 to 1400 kilowatt-hours, indicating a 40% year-on-year increase in electricity consumption.

At one point, India had a high capacity of coal and is now moving towards renewable energy sources. The shift towards renewable energy will bring energy security, but it will also present challenges, such as managing intermittent variable electricity. However, this shift will lead to energy independence and reduced reliance on imports, enabling faster and more sustainable progress. AI’s ability to identify cleaner energy options makes its role increasingly important.

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Bullet Points:

AI Use Cases in Transmission and Distribution Sectors

  • Drones are used for transmission and distribution inspections due to their ability to navigate long lines.
  • In the distribution sector, drones have successfully detected theft and detected cracks in insulators, reducing costs by 30 to 50 percent.
  • AI analytics can achieve insulation and detect status, reducing losses by 1.5 per cent of AT&C loss.
  • Drone inspections of 900,000 modules in five days significantly reduce the time required to identify dangerous hot spots.
  • Thermal imaging in wind farms monitors blade performance and detects small cracks, ensuring safety and efficiency.
  • Rope excess inspection accounts for 1% of wind farm operational expenditure, reducing manpower costs and overall inspection and maintenance expenses.
  • AI has supported improvements in data inspection for India’s ambitious target of installing 250 million smart meters through RDSS.
  • AI has improved customer engagement in utilities, reducing high-bill calls and providing timely bill shock warnings.
  • Utility companies are increasingly focusing on value-adding services to retain customers, such as rooftop solar installation, energy-efficient appliances, or EV charging based on data.

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