Extract data from ISOs and other energy grid sources
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Updated
Aug 3, 2026 - Python
Extract data from ISOs and other energy grid sources
City Energy Analyst (CEA) is an open-source urban building energy modeling (UBEM) platform and computation tool for the design of low-carbon and highly efficient cities.
Tools for producing high-quality hourly generation and emissions data for U.S. electric grids
Demand Response Analysis Framework (DRAF)
This is a repository for cloud adoption tutorials oriented to power system practitioners
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Co-optimization model of power systems and hydrogen systems with option to run MGA
Northwestern University Freight Rail Infrastructure & Energy Network Decarbonization (NUFRIEND) Framework
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Backend source code to produce geospatial data layers for the MCSC's Geospatial Trucking Industry Decarbonization Explorer (Geo-TIDE)
A python version of the NYgrid model.
Capacity expansion model of different U.S. Power systems (Eastern Interconnection, Western Interconnection, ERCOT)
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Decision-support tool comparing CCS retrofits vs. electrification for hard-to-abate industries (steel, cement, chemicals) on cost, abatement, jobs, and timeline. Built for the Laidlaw Scholars Industrial Transitions project.
A carbon-intensity data API: live gCO₂/kWh for cloud regions from grid-operator sources, plus carbon-aware region routing and GHG-Protocol compliance reporting
Python package for calculating Heating/Cooling Degree Days to model energy consumption.
Practicality of Green H2 Economy for Industry and Maritime Sector Decarbonization through Multi-objective Optimization and RNN-LSTM Model Analysis
Technoeconomic assessment of low-emission steelmaking using hydrogen plasma.
Interactive Streamlit dashboard for Mexico's GHG decarbonization scenario analysis (2020–2050). Four scenarios × 8 sectors with Monte Carlo uncertainty bands and DMDU robustness table.
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