Machine Learning

Machine learning involves using mathematical algorithms to 'learn' by classifying patterns in data for a given set of inputs and predictor variables. At Emmi, machine learning is used to estimate carbon emissions (Scope 1, 2, and 3) for listed equities, private equity and corporate fixed income securities. The models are trained using a large dataset of reported emissions and financial information, and they can predict emissions for the latest calendar year with high accuracy, achieving a PCAF score of 3.5 or higher. See How do we estimate the carbon footprint for companies for more details on Emmi's machine learning approach.