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Published 20 hours ago • verified publisher icon dannychua
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Metadata

Harvard CS109: A predictive model for electricity prices in the midwest, and more specifically, the prices of nodes where nuclear plants are located

Electricity-Price-Predictor

This repository contains:

  1. Process Notebook ("Process Book.ipynb")
  2. Raw Data Folders

Python Libraries Used

This project was built using a distribution of Anaconda running Python 2.7.

The following libraries are needed in order to run the code contained in the data scraping and final process notebooks:

  • Numpy
  • SciPy
  • Matplotlib
  • Pandas
  • Time
  • Seaborn
  • Requests
  • JSON
  • Datetime
  • IPython
  • Statsmodels
  • Scikit Learn

Website URL:

http://dannychua.github.io/Electricity-Price-Predictor/

The website is powered by GitHub Pages.

Screencast URL:

https://vimeo.com/148576712

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verified publisher icon dannychua

Metadata

Harvard CS109: A predictive model for electricity prices in the midwest, and more specifically, the prices of nodes where nuclear plants are located

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