tungom / ev_infrastructure_optimization Goto Github PK

This repository contains code for the ESWA Paper: Hierarchical Framework for Demand Prediction and Iterative Optimization of EV Charging Network Infrastructure Under Uncertainty with Cost and Quality-of-Service Consideration

• The code for the experiments is found in the Jupyter Notebook Analytics0011.ipynb file in the folder ESWA_Code_Submission. The notebook has a step by step introduction and implementation of the solution method used
• The experiments use the CSV datasets which have been preprocessed and are in the folder ESWA_Code_Submission.
• The code runs on python 3.9
• The required packages for running the code are in requirements.txt
• To setup the requirements, navigate to the folder with the file in ur terminal and run pip install -r requirements.txt
• Run the entire notebook by clicking on Run All to see the experiments output.

Cite this work as

@article{tungom2023hierarchical,
  title={Hierarchical framework for demand prediction and iterative optimization of EV charging network infrastructure under uncertainty with cost and quality-of-service consideration},
  author={Tungom, Chia E and Niu, Ben and Wang, Hong},
  journal={Expert Systems with Applications},
  pages={121761},
  year={2023},
  publisher={Elsevier}
}