This directory provides updatable supplementary data to a journal paper.

A reproducible pipeline for marginal emissions estimation and carbon-aware load shifting in India built entirely from public weather and grid data. Demonstrates how MEF signals can be translated into actionable household-level CO₂ reductions using a custom constraint-aware optimisation algorithm designed to recommend low-disruption load shifting.

A modular open-source framework that converts public grid and weather data into globally deployable marginal emissions factors, providing reliable, time- and location-specific carbon impact insights in regions without access to detailed grid dispatch data.