SUSTAINABILITY
60 +
The number of AI projects Infosys is running across the global energy sector
Q. HOW HAS INFOSYS USED AI TO SUPPORT THE ENERGY SECTOR?
» One great example is our work with a major utility company in North America where we deployed AI models to perform on-demand, bottom-up, longterm grid forecasting and enable smart decision-making on capital spend and unplanned outages.
The first-of-its-kind solution used open-source ML models, a CIM utility model and scalable cloud architecture to provide significant business benefits to the client. These include:
• Improving load forecasting accuracy to 95 %.
• Savings of tens of millions( USD) in electrical infrastructure investment by transitioning out from“ annual peak load” and reduced unplanned outage to < 1 % from previous > 5-10 %.
• This was primarily because of efficient and proactive grid investments or upgrades in precise grid areas of electrical infrastructure.
• Forecast“ At Will” – anytime, anywhere – for any forecast horizon( 10 years for DSP, 15 years scenario study, 22 years for 2045 study).
• Faster processing within twentyfour hours for 650K transformers compared to 85 hours for 6,500 assets( i. e. 25 times faster while using 100 times more nodes.)
• High agility – more agile response to emerging regulatory needs.
Similarly, we have more than 60 AI projects driving remarkable transformation across the energy sector.
126 July 2026