AI Energy Forecasting: How Machine Learning is Transforming the Grid episode artwork

EPISODE · Nov 13, 2025 · 53 MIN

AI Energy Forecasting: How Machine Learning is Transforming the Grid

from Clean Power Hour · host Tim Montague, John Weaver

#319 The modern power grid faces an existential challenge: integrating massive amounts of renewable energy while keeping the lights on. Sean Kelly, CEO and Founder of Amperon, explains how artificial intelligence and machine learning are replacing outdated forecasting methods to predict energy supply and demand with precision. This conversation explores battery optimization, demand response programs, and why traditional grid models no longer work in a world of extreme weather and distributed generation.Sean Kelly leads Amperon, a company providing AI-driven energy forecasting platforms for grid operators, battery owners, and energy traders. With nearly 20 years of experience in energy trading and risk management, Kelly has worked for major energy firms such as Tenaska, Lehman, EDF, and E.ON, where he led significant trading desk developments and transitions, including bringing nuclear power plants into new markets. Key Discussion Points:Traditional forecasting models look backward. AI models look forward and learn in real time, adapting to grid changes as they happen.Battery storage is exploding. ERCOT expects 40% more storage in the next 5 years. Texas batteries run 1-2 hours, California runs 4-hour batteries, and companies like Form Energy are developing 100+ hour systems.The critical hours are 6pm to 9pm. When solar goes down at sunset and wind drops simultaneously, batteries become essential. Amperon's platform tells operators exactly when to charge and discharge for maximum profit.The grid needs 6 terawatt hours of energy storage but we're only one-tenth of the way there. Developers should build all projects battery-ready or include storage today.Demand response works like insurance. Grid operators pay large customers to reduce load during peak times. Penalties are severe for non-compliance, ensuring the system works when needed.Forecasting is no longer optional. Sean calls it "the operating system of the modern grid." Historical averages won't keep the lights on anymore.Data centers and large industrial loads play a critical role in grid flexibility, backing down from 20 megawatts to 10 megawatts when grid operators need relief.Connect with Sean Kelly LinkedIn: https://www.linkedin.com/in/sean-kelly-0792626/Amperon Website: https://www.amperon.co/ Support the showConnect with Tim  Clean Power Hour  Clean Power Hour on YouTubeTim on TwitterTim on LinkedIn Email [email protected] Review Clean Power Hour on Apple PodcastsThe Clean Power Hour is produced by the Clean Power Consulting Group and created by Tim Montague. Contact us by email:  [email protected] sponsors who share our mission to speed the energy transition are invited to check out https://www.cleanpowerhour.com/support/The Clean Power Hour is brought to you by CPS America, maker of North America’s number one 3-phase string inverter, with over 6GW shipped in the US. With a focus on commercial and utility-scale solar and energy storage, the company partners with customers to provide unparalleled performance and service. The CPS America product lineup includes 3-phase string inverters from 25kW to 275kW, exceptional data communication and controls, and energy storage solutions designed for seamless integration with CPS America systems.  Learn more at www.chintpowersystems.com

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#319 The modern power grid faces an existential challenge: integrating massive amounts of renewable energy while keeping the lights on. Sean Kelly, CEO and Founder of Amperon, explains how artificial intelligence and machine learning are replacing outdated forecasting methods to predict energy supply and demand with precision. This conversation explores battery optimization, demand response programs, and why traditional grid models no longer work in a world of extreme weather and distri...

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AI Energy Forecasting: How Machine Learning is Transforming the Grid

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