Dr Joyjit Chatterjee J.Chatterjee@hull.ac.uk
Data Science & AI Researcher; PhD in ML Alumnus (Hull)
Facilitating a smoother transition to renewable energy with AI
Chatterjee, Joyjit; Dethlefs, Nina
Authors
Dr Nina Dethlefs N.Dethlefs@hull.ac.uk
Senior Lecturer
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 |
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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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Publisher Licence URL
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Copyright Statement
© 2022 The Author(s)
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