To better understand AI’s growing energy use, analysts need a data revolution

2024/08/19 by Eric Masanet, Nuoa Lei, Jonathan Koomey · 1 voice
Computer Science · Engineering · #Data Stream Mining Techniques #Green IT and Sustainability #Smart Grid Energy Management

paper · doi:10.1016/j.joule.2024.07.018

openalex publication_date 2024/08/19 · crossref created 2024/08/19 · crossref issued 2024/09/01 · crossref published 2024/09/01 · crossref published-print 2024/09/01 · crossref deposited 2025/09/18 · openalex created_date 2025/10/10 · crossref indexed 2026/07/21 · openalex updated_date 2026/07/22

Citations

• The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink
• The growing energy footprint of artificial intelligence
• Will AI accelerate or delay the race to net-zero emissions?

Discussions

• Eric Masanet, Nuoa Lei & Jonathan Koomey. 2024. To better assess, monitor, and project AI’s growing electricity demand, energy analysts need a data revolution. Joule doi.org/10.1016/j.jo... [bsky, 1 points, 1 comments]