EnergyAtlas agentic digital twins for city-scale energy insights.
Welcome to the Wiki for EnergyAtlas.io, a comprehensive guide to understanding and using the EnergyAtlas platform for Urban Building Energy Modeling (UBEM).
Subspaces¶
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Installation and your first model
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Step-by-step GUI guides
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System architecture powered by LikeC4
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Python connector docs
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Web API docs
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Object definitions, enums, resources
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EnergyAtlas in practice
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How to contribute
Overview¶
EnergyAtlas is a powerful tool for urban-scale building energy modeling and analysis. This wiki provides detailed documentation, tutorials, and reference materials to help you get the most out of the platform.
Installation¶
EnergyAtlas is offered in several forms.
| Platform | Status |
|---|---|
| Online web application | Planned Q3 2026 |
| Standalone executable (Windows, macOS) | Planned Q2 2026 |
| Grasshopper plugin for Rhino | Planned Q2 2026 |
| QGIS plugin | Planned 2026 |
| Python package | Planned 2026 |
| Public-facing RESTful API | Planned |
Quick Start¶
UBEM Quick Start¶
Energy Atlas References¶
Technical References¶
Workflows¶
Consult Workflows Guide, or explore by stage:
- Urban Data Integration
- Template Definition and Assignment
- Running and Calibrating
- Scenario Design and Simulation
- Results View
Help Us Improve¶
If you would like to contribute to this Wiki, check out:
If you would like to submit an EnergyAtlas feature request, please feel out our Feature Request Survey.