Sol(Di)²T: A Differentiable Digital Twin Framework for Solar Cell Energy Yield Optimization

Please follow the following instructions for installation

Create and activate the conda environment

conda create -n SolDi2T python=3.13 -y

conda activate SolDi2T

Clone the repository

git clone https://github.com/aimat-lab/SolDi2T.git

cd SolDi2T

Install the project

pip install .

This Zenodo link contains the irradiance files necessary to reproduce the code in various locations (Honolulu, Seattle, Miami and Phoenix). To include these files, just extract the necessary .pkl files from the .zip file on the Zenodo link and put them in a defined data/irradiance/ folder.

Training the machine learning models

To retrain the various machine learning models employed in this study, please consult the data available in the same Zenodo link.