arXiv:2603. 26678v2 Announce Type: replace-cross Abstract: AI and renewable energy are increasingly framed as a "power couple," on the premise that surging AI demand will accelerate clean-energy investment, yet concerns persist that AI will entrench fossil-fuel carbon lock-in.
By Luyi Gui, Tinglong Dai
arXiv:2606. 00811v1 Announce Type: cross Abstract: Data centers now account for 4.
By Dana Golden, Aruna Balasubramanian, Niranjan Balasubramanian
The study uses deep learning on high‑resolution socioeconomic and sectoral data to project EU27 CO₂ emissions through 2023 and beyond. It finds that, under current trends, EU emissions will exceed the 2030 target by 35 % (620 Mt CO₂ shortfall), with only a few countries on track. While the power sector is on target thanks to renewables, mobility contributes over a third of emissions and shows little progress, indicating structural inertia across member states.
By Jacopo Ghirri, Carlos Rodriguez-Pardo, Lara Aleluia Reis, Massimo Tavoni
The paper uses deep learning on high‑resolution socioeconomic and sectoral data to project EU27 CO₂ emissions through 2030. It finds that emissions will exceed the EU’s 55% reduction target by 35% (620 Mt CO₂ shortfall), with only a few countries on track. While the power sector is on target thanks to renewables, mobility remains a major source of emissions, indicating structural inertia across member states.
arXiv:2607. 03176v1 Announce Type: new Abstract: Understanding how households consume electricity in response to socioeconomic and climatic drivers is important for decision-makers designing energy policies in a changing climate and under geopolitical tensions.
By Enrico Cofler, Carlos Rodriguez-Pardo, Matteo Giuliani, Andrea Castelletti, Massimo Tavoni
arXiv:2606. 19118v1 Announce Type: new Abstract: Electricity markets are inherently complex systems characterised by strong nonlinearities, high-dimensional interactions, and increasing interdependence across regions.
By Antoine Pesenti, Aidan O'Sullivan