Energy System Optimization
AI that balances power grids in real-time. These systems forecast demand, optimize renewable dispatch, manage battery storage, and schedule maintenance—learning continuously from weather, market, and operational data. The result: higher reliability, lower costs, and more renewables on the grid without overbuilding infrastructure.
The Problem
“You’re flying the grid blind—forecast errors and manual dispatch drive cost and outages”
Organizations face these key challenges:
Day-ahead and intra-day forecast errors force expensive reserve procurement and frequent re-dispatch
Renewables get curtailed because operators can’t confidently predict output ramps and congestion
Battery assets underperform due to static rules (missed arbitrage, wrong SOC at peak, excess cycling)
Maintenance is calendar-based, causing unplanned outages or unnecessary downtime and truck rolls