Overview of Carbon Emissions Tracking With Machine Learning
Abstract— The size and complexity of deep neural networks used in AI applications continue to grow exponentially, significantly increasing energy consumption for training and inference by these models. We introduce an open-source package eco2AI to help data scientists and researchers to track the energy consumption and equivalent CO2 emissions of their models in a straightforward way. In ...
Machine learning applications for carbon emission estimation

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In the context of escalating global climate change concerns, accurately estimating carbon emissions is crucial. This paper conducts a systematic literature review (SLR) on the application of machine learning (ML) techniques for estimating current and future carbon emissions .
This work represents a novel integration of multivariate machine learning modelling, data-driven feature selection, and policy-oriented emission forecasts, establishing new methodological and ...

Predicting carbon dioxide emissions using deep learning and Ninja ...
The subsequent section provides an overview of prior work in CO 2 emissions prediction, the use of machine learning , and optimization in the forecast.
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