PyPSA: Python for Power System Analysis

An open-source nuclear reactor analysis automation framework that helps design teams increase efficiency and quality

list of papers, code, and other resources

Access data, statistics, and visualizations for New York's electricity grid.

The main whatisnuclear.com website

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.

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.

DIF3D plugin to the ARMI nuclear reactor analysis framework

Documentation website build

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.

Simple example of an application built with the Advanced Reactor Modeling Interface

🍃 Explore the world of renewable energy production, analyze historical data, and predict sustainable energy trends. Join us on the journey to a greener future!

Savvy Raghuvanshi's Summer 2017 CEP Data Consolidation Project

Stash API Docs

Electrification Futures Insight (EF-Insight)

The AEM API provides researchers and developers with a way to interact programmatically with the Advanced Electrolyte Model software developed by Idaho National Laboratory (INL). The API facilitates the integration of AEM’s capabilities into other software solutions, enabling seamless automation and data analysis workflows.

This Dashboard is related to EV vehicles adoption

Landing page for the H2 Sistemas Inteligentes

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