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This project is an application that leverages predictive Machine Learning to estimate building energy consumption (EUI). It integrates a Retrieval-Augmented Generation (RAG) framework to tackle complex inferential challenges and incorporates Explainable AI (XAI) techniques to provide clear, interpretable insights into the model's predictions.
Important
- Docker
- Docker Compose
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| Home - EnergyPlus AI |
Usage:
bash cmd.sh <command> [options]If you haven't built the project yet, you can do so by running:
bash cmd.sh setupOnce the setup process is complete, the project will be accessible at localhost:8000.
Warning
If this port is already in use, search for all occurrences of 8000 within the project and replace them with your preferred port number. After making these changes, you'll need to rebuild the project for the modifications to take effect.
The program will run in debug mode, meaning frontend changes will be rendered upon reload. However, if you make changes to the backend, you will need to restart the program by running:
bash cmd.sh startFor development, use debug mode to enable faster and more accurate rebuilds:
bash cmd.sh debugTo stop the program, simply run:
bash cmd.sh stopTip
For a quicker way to stop, use ctrl + C to force stop the program.
If you want to clean the project, you can run:
bash cmd.sh clean This project is distributed under GNU General Public License version 3. You can find the complete text of the license in the project repository.