AI Smart Grid Interoperability

Suite of AI tools that coordinate, optimize, and secure power flows across heterogeneous grid assets, markets, and participants. These applications use predictive analytics, adaptive control, and demand-side optimization to relieve congestion, integrate flexible loads (like data centers and EVs), and enhance grid resilience. The result is higher grid reliability, better utilization of existing infrastructure, and lower system operating costs.

The Problem

“Your grid ops can’t coordinate DERs, markets, and constraints fast enough to avoid congestion and ri”

Organizations face these key challenges:

Dispatch and congestion management relies on manual operator actions and slow, offline studies—too late for 5–15 minute volatility from renewables and flexible load

Data is fragmented across SCADA/EMS/DMS, DERMS, AMI, market systems, and customer systems, making end-to-end visibility and control brittle and expensive to maintain

Constraint violations and curtailment happen because forecasts are inconsistent (load/solar/wind/outages) and control policies don’t adapt to real-time conditions

Demand response and flexible load programs underperform due to poor targeting, weak baselines, and lack of automated verification—plus increasing cyber/OT anomaly risk