Clean energy is booming in Texas, with record-breaking numbers of solar and battery storage deployments coming online. As the quantity of energy market participants grows, and as the Texas grid becomes increasingly variable, the opportunity for AI to optimize battery operations only becomes more imperative.
At the same time, North American energy storage system providers are facing increasing demands from governments to source domestic solutions that address utility grid security concerns. By leveraging AI-driven optimization, virtually all system owners can increase revenue while reducing FTP risk.
In this presentation, Emma Garcia, Ryan Franks of TWAICE, Michael Worry, CEO and CTO of Nuvation Energy, and David Miller from Gridmatic will discuss the crucial role AI plays, and will continue to play, in the effort to optimize battery storage for an increasingly variable grid.
The panel will also review case studies and lessons learned from common BESS challenges, such as undetected flaws at the cell level, inaccurate state of charge readings, and asset availability issues. Attendees will gain insight into how energy storage system integrators are delivering solutions that balance domestic sourcing requirements against global supply chain dependencies.
**Requires a conference pass
