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Private Equity Emissions Modelling Improvements

We deployed significant improvements to the private equity emissions machine learning emissions module:

  • Sourced reported emissions for the top 100 private companies globally for testing

  • Refactored tiered-approach giving better uncertainty limits based on data inputs

  • Clear data quality hierarchy built within data pipeline

  • Assessed private models using the independent emissions data for top 100 companies

  • Missing data and financial imputation methods assessed

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