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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.
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
欢迎来到冷电开放项目,这是一个致力于推广冷电技术及其应用的开放平台。Welcome to the Cold Electricity Open Project, an open platform dedicated to promoting cold electricity technology and its applications.
🍃 Explore the world of renewable energy production, analyze historical data, and predict sustainable energy trends. Join us on the journey to a greener future!
Using electric vehicle charging data, I explore when drivers are likely to plug in their cars, and how much additional electricity demand that will create when the number of electric cars increases.
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.