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clean-energy

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EVQUARIUM is an evaluation tool that quantifies the accessibility of EV charging station locations using queueing and graph theory. Given a zonal distribution of EVs with access times to charging stations, it outputs the access patterns and social impacts under equilibrium.

  • Updated Mar 28, 2023
  • Jupyter Notebook

Learn to optimize machine learning tasks for environmental sustainability. Discover how to use real-time electricity data and low-carbon energy sources for model training and inference, reducing the carbon footprint of your cloud operations.

  • Updated Jul 15, 2024
  • Jupyter Notebook

This program is a command line interface application (CLI app), developed in Python to automate data wrangling transformations by cleaning and structuring energy demand (load) data from electricity agencies in 10 Southern African countries. The CLI app supports the data analytics and data pipeline development for the UC Santa Barbara CETlab

  • Updated Aug 16, 2024
  • Python

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