Innowatts Outperforms ERCOT by 29% so far in 2025

The energy landscape in 2025 is anything but stable. With record-setting summer heatwaves and surging demand driven by AI and data center growth, grid operators and Retail Energy Providers (REPs) face unprecedented forecasting challenges. Amid this volatility, accuracy isn’t just beneficial—it’s essential.

At Innowatts, we’re proud to share that our AI-powered platform has achieved an average Mean Absolute Percentage Error (MAPE) 29% lower than ERCOT‘s (Electric Reliability Council of Texas) every single month this year.

That’s not just a metric—it’s a market advantage.

Our load forecasts are trained on over 55 million meters globally, offering deep learning capabilities that factor in behind-the-meter activity, weather sensitivity, DER behavior, and more. This level of precision empowers energy providers to make smarter, faster decisions when it matters most—during coincident peak events, wholesale bidding, and load scheduling.

With extreme weather becoming the new norm, a 1% improvement in accuracy can equate to millions in savings. A 29% improvement? That’s transformative.

Ready to learn how Innowatts delivers award-winning forecasting at scale?

CLICK HERE to learn more about Innowatts Precision Intelligence and how we prepare our utility, REP and C&I clients for extreme demand events.