Machine Learning for Facility-Level Green H2-DRI-EAF Steel Production Costs

Machine learning code for facility-level green H2-DRI-EAF steel production costs, to expand analysis from 44 regions in 17 important iron ore-producing regions, to over 300 global locations.

System Requirements:
x86 64-bit CPU (Intel / AMD architecture).

Installation:
Download the ML code and dataset files from https://figshare.com/s/a3849465ee2e09744876, saving all in your own file directory.

Demo:
Run python code using IDE of choice (tested using Jupyter Notebook).
Expected run time for demo on a "normal" desktop computer is just minutes.