Author: Raphael Reimann
This is the associated code to the research paper "ASHRAE Great Energy Predictor III". To replicate this make sure you install all the necessary dependencies through conda with
conda env create -f environment.yml
Then download the dataset from Kaggle with this link. Adjust the path to the data in the notebooks 01 Data Understanding.ipynb and 02 Modeling.ipynb as well as ashrae_dashboard.py if you are running the web application.
To showcase the machine learning models in an applied way, a web application was created. To run it locally run
streamlit run ashrae_dashboard.py
