Author: Liang Zhang@National Renewable Energy Laboratory
Hybrid feature selection method for building energy forecasting described here
Please cite the paper if you use the code for publication:
Zhang, L., & Wen, J. (2019). A systematic feature selection procedure for short-term data-driven building energy forecasting model development. Energy and Buildings, 183, 428-442.
This project is a work-in-progress.
Installation Download and install the latest version of Conda (version 4.4 or above) Create a new conda environment:
$ conda create -n <name-of-repository> python=3.6 pip
$ conda activate <name-of-repository>
(If you’re using a version of conda older than 4.4, you may need to instead use source activate .)
Make sure you are using the latest version of pip:
$ pip install --upgrade pip
Install the environment needed for this repository:
$ pip install -e .[dev]
After installing the environment, run the example python script "run/example.py". The example data is stored in "data/example_data.csv".