EnergyAtlas-MCP
Connect AI assistants to EnergyAtlas tools and city energy data.
EnergyAtlas.io
agentic digital twins for
city-scale energy insights.
Features
Agentic Digital Twin
Explore connected city models with agentic reasoning and assistance.
- Connect building, parcel, zoning, and energy data.
- Find data gaps and assist model setup.
- Map local archetypes and energy results.
City-Scale Energy Insights
Turn city-scale energy simulations into actionable climate plans.
- Forecast hourly loads for power and grid studies.
- Compare electrification and retrofit demand and emissions.
- Prioritize climate action by cost, payback, and incentives.
Distributed Energy Resources Integration
Match distributed energy resources to local demand and network needs.
- Model solar, geothermal, district energy, and CHP.
- Coordinate storage and EV charging.
- Test demand response and smart building flexibility.
Products
EnergyAtlas-Agent
Explore urban energy questions with an agentic modeling assistant.
EnergyAtlas-API
Bring energy models and simulation results into your own workflows.
EnergyAtlas-Wiki
Find guides, concepts, and examples for working with EnergyAtlas.
