Gridraven released a new study on a major transmission line between Calaveras and Pawnee in south-central Texas. The analysis finds that grid congestion led to higher power prices in the region this summer, and that applying sensorless dynamic line rating (DLR) could have saved local ratepayers between $2 and $3 million conservatively, and potentially as much as $10 million, between May and August. If scaled statewide, the research shows the same AI-driven weather-forecasting approach could reduce the state’s $2 billion congestion costs.
“Texans are paying billions in congestion costs while new transmission takes years to build,” said Georg Rute, CEO of Gridraven. “Our study on this single transmission line shows that with breakthrough weather forecasting we can safely put more capacity to work today. That would mean cheaper power bills and a stronger grid for Texas.”
Timed with the study, Gridraven is hosting its Future of the Texas Grid: Austin Energy Leaders Breakfast & Roundtable today, Tuesday, October 14 at 9 a.m. at Capital Factory. The event will feature leading Texas energy voices discussing urgent challenges around affordability, rapid load growth, and grid reliability.
Panelists include:
- Jack Farley – CCO, Grid United
- Doug Lewin – President, Stoic Energy
- Dr. Joshua Rhodes – Research Scientist, University of Texas at Austin & Founding Partner, IdeaSmiths LLC
- Patricia Zavala – Executive Director, PowerHouse Texas
- Moderated by: Georg Rute, CEO of Gridraven
Following the roundtable, Gridraven will unveil Claw, its new sensorless, fully software-based DLR solution. Unlike traditional DLR methods that include hardware, Claw uses hyper-local AI weather forecasting to predict how much electricity lines can safely carry, increasing capacity on existing power lines by up to 30 percent.
Gridraven’s new study follows a successful nationwide DLR deployment across Finland’s national grid. The company also has several contracts under negotiation in the U.S. By the end of the year, Gridraven expects to be able to show any utility globally its specific network on Claw.