Solar cell designs by maximizing energy production based on machine learning clustering of spectral variations
Though multijunction solar cells can exceed silicon technology in terms of standard efficiency, the uncertainty in solar spectral changes impacts its energy production. Here, the authors use machine learning techniques to predict the optimal solar cell designs in terms of yearly averaged efficiency.
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2018-12-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-018-07431-3 |
| Summary: | Though multijunction solar cells can exceed silicon technology in terms of standard efficiency, the uncertainty in solar spectral changes impacts its energy production. Here, the authors use machine learning techniques to predict the optimal solar cell designs in terms of yearly averaged efficiency. |
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| ISSN: | 2041-1723 |