AI-Powered Battery Optimization for Utility-Scale Energy Storage
Leading Energy Infrastructure Provider
Challenge
An energy storage provider managing 500+ MW of battery capacity needed to optimize charging/discharging cycles to maximize revenue from energy arbitrage while extending battery lifespan and maintaining grid stability requirements.
Outcome
Deployed reinforcement learning system that increased arbitrage revenue by 34%, extended battery lifespan by 18%, and achieved 99.97% grid compliance. System now manages $2.1B in energy storage assets across 47 locations.
AI & Data Science
Cloud & DevOps
Product Engineering