Facilitating a smoother transition to renewable energy with AI

被引：7
|
作者：
Chatterjee, Joyjit [1 ]
Dethlefs, Nina [1 ]
机构：
[1] Univ Hull, Dept Comp Sci & Technol, Cottingham Rd, Kingston Upon Hull HU6 7RX, N Humberside, England
来源：
PATTERNS | 2022年 / 3卷 / 06期
关键词：
D O I：
10.1016/j.patter.2022.100528
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
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页数：3
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