I hope all is well! Today we have some new and exciting articles around machine learning, vegetation management, power grid planning, and battery energy storage. We hope you enjoy!
Maximizing the potential of the grid edge starts with collaboration. The new IEEE PES Grid Edge Technologies Conference & Exposition will unite utilities, big tech, municipalities, policy makers, startups, and more creating tomorrow’s energy grid.
Data science and analytics enable utilities to tap into the power of artificial intelligence (AI) in managing vegetation for maximum safety and grid reliability. By using data to identify the areas at highest risk for vegetation-related incidents, machine learning (ML) platforms help utility companies allocate resources to areas where they are most urgently needed.
Over the next decade, the electric utility ecosystem is perfectly poised to grow its potential along with its complexity. From rising interest rates to regulatory constraints and continuously evolving priorities, utilities face difficult budgetary decisions in tandem with mounting pressure to increase adoption of renewable generation. How can more be done, with less?
Finnish energy technology firm Wärtsilä announced it has completed a 125-MW/250-MWh battery energy storage system (BESS) in Calexico, California for renewable energy company REV Renewables. The facility is referred to as the LeConte energy storage project.
