Energy

AI that forecasts demand, optimizes dispatch, and keeps the grid stable.

Forecasting, grid ops AI, customer service voice.

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Energy AI operates at the intersection of safety-critical infrastructure, complex physics, and market volatility. We've built forecasting, optimization, and customer service AI for utilities, renewable operators, and energy retailers that must perform reliably at the standards critical infrastructure demands.

Why Evolve Edge

Safety-critical engineering standards Energy AI must fail safely. Our systems are built with redundancy, fallback modes, and manual override capabilities that meet utility operational standards.

Physics-aware modeling Forecasting and optimization models that incorporate grid physics, weather patterns, and equipment constraints — not just statistical patterns in historical data.

NERC / FERC compliance awareness We build with NERC CIP and FERC regulatory requirements in mind from day one, not retrofitted when a compliance officer reviews the architecture.

Evolve Edge team at work

Use cases

Load and renewable forecasting

Short-term and day-ahead demand forecasting with weather integration, incorporating distributed energy resources and electric vehicle load growth.

Grid dispatch optimization

Economic dispatch optimization that minimizes cost while respecting transmission constraints, reserve requirements, and renewable integration targets.

Predictive asset maintenance

Transformer, substation, and generation asset failure prediction using sensor data, operational history, and environmental factors.

Customer service voice AI

Utility customer service voice agents handling outage reporting, billing inquiries, and efficiency program enrollment — with human escalation for complex issues.

Energy retail pricing AI

Dynamic pricing recommendation and rate plan optimization for energy retailers managing customer portfolios across time-of-use structures.

Demand response automation

AI-driven demand response event management that optimizes customer participation, minimizes customer impact, and maximizes grid benefit.

Client perspective

“Load forecast MAPE under 4% for six months straight. Grid operators have confidence in the numbers — that's the only metric that matters.”

Charles HammondHead of Grid Operations · Summit Energy Co.

FAQ

How do you handle the safety requirements for grid-connected AI?
Manual override on all AI-driven dispatch decisions, human-in-the-loop for any action that affects grid stability, and fail-safe defaults that return to conventional operation if AI confidence falls below threshold.
Can your forecasting models handle renewable variability?
Yes. Our models incorporate satellite-based solar irradiance forecasts, NWP wind forecasts, and real-time curtailment signals — specifically designed for the volatility of high-renewable grids.
How do you integrate with SCADA and EMS systems?
We've integrated with GE, Siemens, and ABB SCADA/EMS systems using standard protocols (IEC 61968/61970, ICCP). We understand OT security requirements and design accordingly.

Energy experts

Let's scope your project

We'll bring operational AI patterns from similar deployments and give you a concrete timeline on the first call.