AI Agents for Energy Flexibility
Four agent types that communicate with each other to decrease energy waste and reduce electricity bills
Building Agents
What They Do
AI agents that optimize energy usage across commercial and residential buildings. Using model predictive control (MPC), they manage HVAC, lighting, and energy storage in real time — responding to price signals, occupancy patterns, and weather forecasts.
How They Communicate
Building agents share flexibility signals with DSO agents, coordinate with solar agents for self-consumption optimization, and negotiate with EV charging agents to balance on-site load.
Key Metric
DSO Agents
What They Do
AI agents for Distribution System Operators that coordinate grid-level flexibility. They balance supply and demand, manage congestion, and enable automated participation in grid services like aFRR, mFRR, and FCR.
How They Communicate
DSO agents aggregate flexibility from building, solar, and EV charging agents across the network. They send price and constraint signals to coordinate distributed assets at the grid level.
Key Benefits
- • Real-time congestion management
- • From problem-solution to agentic coordination
- • Aggregated flexibility from distributed assets
Solar Irradiance Agents
What They Do
AI agents that forecast and manage solar energy production. They predict irradiance patterns, optimize inverter output, and coordinate with other assets to maximize renewable self-consumption.
How They Communicate
Solar agents broadcast production forecasts to building and EV charging agents, enabling them to shift load to match solar availability. They also signal excess capacity to DSO agents for grid-level optimization.
Applicable Environments
EV Charging Agents
What They Do
AI agents for smart scheduling and load balancing at EV charging stations. They minimize peak demand charges while maximizing driver satisfaction by intelligently distributing charging across time slots and stations.
How They Communicate
EV charging agents receive solar production forecasts and building load data to schedule charging during low-cost periods. They report flexibility capacity to DSO agents for grid service participation.
Key Benefits
- • Peak demand reduction through smart scheduling
- • Solar-aligned charging for maximum self-consumption
- • Vehicle-to-grid (V2G) flexibility for grid services