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Hybrid feature selection method for building energy forecasting described in https://www.sciencedirect.com/science/article/pii/S0378778818321625 Please cite the paper above if you use the code for publication.

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FeatureSelection_BuildingEnergy

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".

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Hybrid feature selection method for building energy forecasting described in https://www.sciencedirect.com/science/article/pii/S0378778818321625 Please cite the paper above if you use the code for publication.

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