The rapid advancement of artificial intelligence (AI) has significantly increased the computational load on data centers, resulting in substantial carbon emissions. To mitigate these emissions, future data centers should be strategically planned and operated to fully utilize renewable energy resources while meeting growing computational demands. This study aims to investigate how much carbon emission reduction can be achieved by using a carbon-oriented demand response to guide the optimal planning and operation of data centers. An empirical study based on the proposed models is conducted on real-world data from China. The results from the empirical analysis show that newly constructed data centers are recommended to be built in Gansu Province, Ningxia Hui Autonomous Region, Sichuan Province, Inner Mongolia Autonomous Region, and Qinghai Province, accounting for 57% of the total national increase in server capacity. 33% of the computational load from Eastern China should be transferred to the West, which could reduce the overall load carbon emissions by 26%.

Energy sector decarbonization is a key battleground in China’s march toward carbon neutrality, and understanding what it means and takes is crucial for its policy-making and sustainable implementation. Here we analyze the structural challenges and review the necessary supporting technologies and systems of energy sector decarbonization in China. This work could achieve a better understanding of technology development and deployment, and to make more thoughtful policy recommendations.

The CCT sensitivity calculation method proposed in this study provides a new tool for stability analysis in power systems with a high proportion of power electronic devices. By considering the effects of current limiting and control switching, as well as scenarios where stability boundaries are controlled by periodic orbits (POs), the method quantifies the impact of various parameters on system stability and offers guidance for adjusting inverter control parameters. Future research could further refine the CCT calculation method and integrate CCT sensitivity into optimization models to enhance system stability through improved inverter control strategies.

A new study in Engineering reveals that S-adenosylmethionine (SAM) - producing probiotics might be a potential way to manage sleep disorders. The research identified Lactobacillus helveticus CCFM1320 as a promising probiotic. Tests on sleep-deprived mice and a clinical trial with insomnia patients showed that it could improve sleep quality, and the findings suggest a non-pharmacological alternative for treating sleep problems.

A critical analysis of the latest literature data on changes in the viability of cancer cells under the influence of terahertz radiation was reported.

Research team developed CLAP, an RL agent for automated penetration testing. It features a coverage mechanism and Chebyshev decomposition critic, reducing attack operations by 35% and enabling efficient testing on networks with up to 500 hosts.