AI-Driven Emissions Modeling: A Blueprint for Iraq's Oil and Gas Sector

Description

This repository contains the Python source code and training data used to validate the Random Forest emissions model presented in the manuscript "AI-Driven Emissions Modeling: A Blueprint for Iraq's Oil and Gas Sector".

Steps to reproduce

1. Ensure Python 3.x is installed on your system 2. Install the required libraries by running: pip install pandas numpy scikit-learn matplotlib openpyxl 3. Download the three files from this repository: Carbon_Emissions_Model_Validation.py, owid-co2-data.csv, and IEA_EDGAR_CO2_1970_2023.xlsx 4. Place all three files in the same local directory 5. Run the Python script 6. The console will output the R2 scores and RMSE values for the Random Forest model, replicating the results reported in the manuscript

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