The Public Utility Data Liberation Project provides analysis-ready energy system data to climate advocates, researchers, policymakers, and journalists.
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Updated
Dec 5, 2024 - Python
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
R+Fortran+OpenMP package to estimate Vehicular Emissions INventories VEIN.
Create and processing emissions for numeric air quality models
Library and API to calculate CO2 emissions for personal mobility.
R package to estimate public transport emissions based on GTFS data
Export Emissions to Atmospheric Models
RabbitMQ-backed microservices supporting RPC, pubsub, automatic service discovery and scaling with no code changes.
A Prometheus exporter and a REST API server to export metrics of compute units of resource managers like SLURM, Openstack, k8s, _etc_
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.
The Harmonized Emissions Component (HEMCO), developed by the GEOS-Chem Support Team.
FIRECAM: Fire Inventories - Regional Evaluation, Comparison, and Metrics
Tools to calculate growth statistics for individual urban trees such as for estimating carbon storage.
Experiments for the Climate Change AI summer school 2023 tutorial on "AI for Monitoring, Reporting, and Verification"
Pyra: Automated EM27/SUN Greenhouse Gas Measurements
Calculation of electricity CO₂ intensity at national, state, and NERC regions from 2001-present
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