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Facilitating a smoother transition to renewable energy with AI

Chatterjee, Joyjit; Dethlefs, Nina

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Abstract

Artificial intelligence (AI) can help facilitate wider adoption of renewable energy globally. We organized a social event for the AI and renewables community to discuss these aspects at the International Conference on Learning Representations (ICLR), a leading AI conference. This opinion reflects on the key messages and provides a call for action on leveraging AI for transition toward net zero.

Citation

Chatterjee, J., & Dethlefs, N. (2022). Facilitating a smoother transition to renewable energy with AI. Patterns, 3(6), Article 100528. https://doi.org/10.1016/j.patter.2022.100528

Acceptance Date May 11, 2022
Publication Date Jun 10, 2022
Deposit Date Jul 11, 2022
Publicly Available Date Mar 29, 2024
Journal Patterns
Electronic ISSN 2666-3899
Publisher Cell Press
Peer Reviewed Peer Reviewed
Volume 3
Issue 6
Article Number 100528
DOI https://doi.org/10.1016/j.patter.2022.100528
Public URL https://hull-repository.worktribe.com/output/4015610

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