Skip to content
/ SSSS Public
forked from lz356/SSSS

Paper Searching Tool termed as Sub-keyword Synonym Subtopics Searching described in the paper "A Review of Machine Learning in Building Energy System Modeling: Part I. Building Load Prediction"

License

Notifications You must be signed in to change notification settings

yhz317/SSSS

 
 

Repository files navigation

Sub-keyword Synonym Subtopics Searching (SSSS)

Paper Searching Tool termed as Sub-keyword Synonym Subtopics Searching described in the paper "A review of machine learning in building load prediction", Section 2

Please cite the paper if you use the code for publication:

Zhang, L., Wen, J., Li, Y., Chen, J., Ye, Y., Fu, Y., & Livingood, W. (2021). A review of machine learning in building load prediction. Applied Energy, 285, 116452.

This project is a work-in-progress.

Installation

Download and install git

Download and install the latest version of Conda (version 4.4 or above)

Run Anaconda Prompt as Administrator

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 .)

Ensure that you have navigated to the top level of your cloned repository. You will execute all your pip commands from this location. For example:

$ cd /path/to/repository

Install the environment needed for this repository:

$ pip install -e .[dev]

About

Paper Searching Tool termed as Sub-keyword Synonym Subtopics Searching described in the paper "A Review of Machine Learning in Building Energy System Modeling: Part I. Building Load Prediction"

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%