This repository contains the code of the data-driven PV optimization framework, described in the following perspective (under peer-review):
"Oviedo, F., Ren, Z., ... , John Fisher III, Buonassisi, T. (2020). Bridging the gap between photovoltaics R&D and manufacturing with data-driven optimization" Link: https://arxiv.org/abs/2004.13599
This work was a part of a NeurIPS Climate Change AI Workshop 2020 spotlight talk, and was awarded "Best Paper Award".
Run the code to produce each Figure.
Felipe Oviedo and "Danny" Zekun Ren
| AUTHORS | Felipe Oviedo and "Danny" Ren Zekun |
| VERSION | 0.1 / May, 2020 |
| EMAIL OF REPO OWNER | foviedo@mit.edu |
This work is under an Apache 2.0 License and data policies of Nature Partner Journal Computational Materials. Please, acknowledge use of this work with the apropiate citation.
@misc{oviedo2020bridging,
title={Bridging the gap between photovoltaics R&D and manufacturing with data-driven optimization},
author={Felipe Oviedo and Zekun Ren and Xue Hansong and Siyu Isaac Parker Tian and Kaicheng Zhang and Mariya Layurova and Thomas Heumueller and Ning Li and Erik Birgersson and Shijing Sun and Benji Mayurama and Ian Marius Peters and Christoph J. Brabec and John Fisher III and Tonio Buonassisi},
year={2020},
eprint={2004.13599},
archivePrefix={arXiv},
primaryClass={physics.app-ph}
}