Jupyter extension to display CPU and GPU power usage and equivalent CO2 emissions

Bilans d'émissions de gaz à effet de serre publiés par les entreprises et collectivités territoriales sur le site de l'ADEME

Use Seattle's public energy data and build a model predicting energy consumption

Statistics project 2 based on the multivariate analysis of a time series dataset

Frictionless environmental data packages

Google Maps, but with a CO2 emissions calculator that takes the route, car, and number of passengers to show how much CO2 each person is emitting to inspire more environmentally conscious traveling.

An app that provides users with an estimated amount of CO2 emissions for trips between any two cities of the world. It also provides current/forecast weather conditions for the destination city.

This contains an exploratory analysis about the link between natural events and climate change.

This package performs an emissions and economic analysis of a small-scale (<100 kWe) CHP system paired with thermal energy storage

Base Carbone gérée par l'ADEME, des facteurs d'émission à utiliser pour les bilans d'émission de gaz à effet de serre réglementaires en France

Web app showing EU emission pathways in line with the Paris agreement

Forecast Carbon Emissions with Time-Series data. This repository contains 2x Jupyter Notebooks that predict Carbon Emissions in the United States using Neural Basis Expansion Analysis for Time series (NBeats). The second notebook has an extra pre-processing step of data been scaled and inverse-transformed before final results.

Uncertainties and property calculator and plotter for gas analysis (containing dilution gas(es))

A shiny app which shows the gas emissions of european countries from 2011 to 2020

Data ingest for RMI's Utility Transition Hub data (as of March 7, 2022)

Predict carbondioxide emissions of cars based on their models, engine sizes, cylinders, etc. using regression. The model has a 88% accuracy. The dataset is present in the repo.

[Web Engineering]

Energy Economical Model has been developed to quantitatively answer the following question for industrial units, "What is the best energy source mix for my facility and operations?"

The system tracks the emissions of a given recommendation algorithm on a given dataset.