Carbontracker

Seamlessly measure the carbon footprint of your machine learning models.

Project Overview

Carbontracker tracks hardware power consumption and local energy carbon intensity during training to provide accurate measurements and predictions of the operational carbon footprint.

Team Members

  • Raghavendra Selvan (PI)
  • Mikkel Dahl (Current Maintainer)

Related Publications

  1. The CO2ST of Agentic AI in Research
    Nanna Inie, Jeanette Falk, Raghavendra Selvan
    Nordic Conference on Human-Computer Interaction (NordCHI), 2026
  2. Physics Priors Offer Useful Accuracy-Carbon Trade-Offs in Spatio-Temporal Forecasting
    Sophia N. Wilson, Jens Hesselbjerg Christensen, Raghavendra Selvan
    ECCV Workshop on Representation Learning with Very Limited Resources (LIMIT), 2026
  3. The HCI GenAI CO2ST Calculator: A Tool for Calculating the Carbon Footprint of Generative AI Use in Human-Computer Interaction Research
    Nanna Inie, Jeanette Falk, Raghavendra Selvan
    Sixth Decennial Aarhus Conference: Computing X Crisis, 2025
  4. How CO2STLY Is CHI? The Carbon Footprint of Generative AI in HCI Research and What We Should Do About It
    Nanna Inie, Jeanette Falk, Raghavendra Selvan
    Conference of Human-Computer Interaction (CHI), 2025
  5. Operating critical machine learning models in resource constrained regimes
    Raghavendra Selvan, Julian Schön, Erik B Dam
    Resource Efficient Medical Image Analysis Workshop at MICCAI2023, 2023
  6. Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis
    Raghavendra Selvan, Nikhil Bhagwat, Lasse F. Wolff Anthony, Benjamin Kanding, Erik B. Dam
    25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022
  7. Carbon footprint driven deep learning model selection for medical imaging
    Raghavendra Selvan
    4th Conference on Medical Imaging with Deep Learning (MIDL), 2021
  8. Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
    Lasse F Wolff Anthony, Benjamin Kanding, Raghavendra Selvan
    ICML Workshop on Challenges in Deploying and monitoring Machine Learning Systems, 2020