FencerDave/direct_capstone2020

Hedging-Saving

Introduction: Enel X has customers that participate in a special system peak program aimed at optimizing cost of energy in batteries. In this program, if Enel X storage or load is dispatched by our customers (ie, make their electricity load small) during the five highest hour long peaks in the year of the total grid, Enel X is rewarded at approximately $100/kW. The system peak program was designed by the local utility to lower peak electricity load on the grid. Thus, Our goal is working on a project that will help Enel X ‘s customers to fully utilize the battery capacity and optimize the electricity cost.

Table of Contents

• Organization of the project
• Software Dependencies
• Project Data
• Documentation
• Installation
• Licensing

Organization of the project

The project has the following structure:

direct_capstone2020/
  |- codes/
    |- Summarize_functions.ipynb
    |- dataset.ipynb
    |- results_for_performance.ipynb
    |- step1_summary.ipynb
    |- step2_summary.ipynb
    |- step3_summary.ipynb
    |- step4_summary.ipynb
  |- database/
    |- data
  |- docs/
    |- Gantt Chart.png
    |- Project_proposal.pdf
    |- use_cases
  |- README.md
  |- environment.yml
  |- .gitignore
  |- LICENSE

Software Dependencies

• Python 3
• Use environment.yml to create an environment

Project Data

Documentation

Installation

Licensing

We use the MIT license to maintains copyright to the authors.