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

Interactive Streamlit app to evaluate ship fuel mixes against FuelEU Maritime targets, model EU ETS coverage/phase-in and costs, explore mitigation (pooling, bio/RFNBO, replacement), visualize trends, and export configurable PDF reports.

Co-optimization model of power systems and hydrogen systems with option to run MGA

Northwestern University Freight Rail Infrastructure & Energy Network Decarbonization (NUFRIEND) Framework

Backend source code to produce geospatial data layers for the MCSC's Geospatial Trucking Industry Decarbonization Explorer (Geo-TIDE)

Navigate is an open-source sectoral integrated assessment model for simulating transitions of the maritime industry.

A python version of the NYgrid model.

Capacity expansion model of different U.S. Power systems (Eastern Interconnection, Western Interconnection, ERCOT)

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 multi-basin, multi-vessel, instance-matched benchmark for ship weather-routing and speed-optimization research (96 instances x 3 hulls, ERA5 weather, first-principles physics).

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

An end-to-end data analytics project that scrapes, harmonizes, and visualizes a decade of EU energy statistics from Eurostat — then delivers the results through an interactive Streamlit dashboard built for lobbyists, policymakers, and energy analysts.

An enterprise-grade, interactive industrial decarbonization platform developed by Srinivasa. Powered by Streamlit and Scikit-Learn, this application implements a physics-enforced machine learning pipeline to track, optimize, and reduce manufacturing carbon footprints. Features real-time SCADA telemetry simulation, automated closed-loop anomaly dete

An end-to-end machine learning and process mining solution using XGBoost and Celonis to analyze, predict, and reduce Scope 3 carbon emissions in business travel.