Facilitating a smoother transition to renewable energy with AI

被引：9

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.

引用

页数：3

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