There are 2 repositories under emissions topic.
The Public Utility Data Liberation Project provides analysis-ready energy system data to climate advocates, researchers, policymakers, and journalists.
Tools for producing high-quality hourly generation and emissions data for U.S. electric grids
Library and API to calculate CO2 emissions for personal mobility.
RabbitMQ-backed microservices supporting RPC, pubsub, automatic service discovery and scaling with no code changes.
Tools to calculate growth statistics for individual urban trees such as for estimating carbon storage.
FIRECAM: Fire Inventories - Regional Evaluation, Comparison, and Metrics
Experiments for the Climate Change AI summer school 2023 tutorial on "AI for Monitoring, Reporting, and Verification"
Proposed a mathematical model for optimizing the profits and emissions while setting dynamic prices of electricity. A bilevel & multi-objective model is proposed for maximizing profits of retailer, minimizing the emissions produced, & minimizing the total cost of customers.
Calculation of electricity CO₂ intensity at national, state, and NERC regions from 2001-present
Python module to calculate vehicle emissions based on the 2016 EU EEA guidebook: http://www.eea.europa.eu/publications/emep-eea-guidebook-2016. The module lets you calculate routes between two points in Norway and sort them based on the total emission for various types of pollutants.
Carbon Footprint Calculator For Individuals And Households
The Joint Research Centre (JRC) developed ‘JRC Python Gearshift Calculation Tool’ (JR-Shift), a simulation tool developed in Python programming language, that calculates the required gears for manual transmission vehicles as required by the Worldwide harmonized Light-duty vehicles Test Procedure (WLTP) and UN GTR 15 and (EU) 2017/1151 regulations.
Search and download FAOSTAT bulk download files
Place-Based Carbon Calcualtor
Automated filling of detail in reported emission scenarios
This repository contains the test data and code used for the paper titled "Physics-Based Machine Learning Framework for Predicting NOx Emissions from Compression-Ignition Engine Powered Vehicles" that is submitted to the Applied Energy Journal
Interactive map showing the 2019 carbon emission per country (assignment)
Official repository of our works related to Super-Resolution of BVOC Emission Maps.