S&P Global has completed its acquisition of Enertel AI Corporation, a company focused on artificial intelligence for power market forecasting.
The deal brings Enertel’s short-term price forecasting into S&P Global’s broader energy analytics business, combining near-term signals with the company’s established long-term market analysis for North American electricity markets.
Enertel AI adds real-time forecasting tools to S&P Global’s energy division. The Ontario-based company, founded in 2021, uses proprietary AI and machine learning models to predict short-term power prices.
Its technology includes Graph Neural Networks and is built to produce probabilistic forecasts designed to support trading and operating decisions.
The platform delivers nodal-level price forecasts across the major Independent System Operators in North America.
Those forecasts cover day-ahead and sub-hourly periods, which matter closely for physical power traders. Enertel’s models pull in market prices, load, weather, and fuel costs to improve forecast accuracy.
The acquisition gives S&P Global a broader view of the power market by linking long-range outlooks with immediate pricing intelligence. Clients now get one intelligence chain stretching from multi-year energy forecasts to next-day nodal price analysis.
The move is aimed at a market dealing with faster change, sharper volatility, and more operational complexity.
Dave Ernsberger, president of S&P Global Energy, said power markets are moving through an unusual period of transformation. He said customers need intelligence that moves at the same speed, and described the acquisition as part of the company’s push into higher-value parts of the energy market.
The main users of the expanded platform are likely to be physical power traders, utilities, and asset operators.
For those groups, the added AI-driven forecasting should improve decision-making, strengthen risk management, and support more efficient operations across increasingly volatile markets.
S&P Global said the transaction is not expected to have a material effect on its financial results. The bigger point sits elsewhere. This is a technology and market-positioning deal, built to strengthen the company’s standing in energy intelligence rather than shift its financial profile overnight.
