With the development and maturity of artificial intelligence technology, the gap in computility and the energy consumption of intelligent computing applications have continued to increase rapidly in human society.
The consensus among academia and industry is that network-enhanced computing and electricity-computing collaboration are needed.
Network-enhanced computing aims to form larger computing infrastructure through network interconnection to support large model training and inference, while electricity-computing collaboration matches the temporal and spatial distribution of energy with computing tasks.
Network-enhanced computing and electricity-computing collaboration have the potential to fundamentally solve the computing and inference needs of future artificial intelligence large models, and by combining them with the characteristics of application scenarios, they can resolve the coordination problem of computility and energy through high-speed interconnected networks.
This special topic solicits research works related to the integration of energy, computility and networking technology, including network interconnection, computing task scheduling, computility networks, and energy-computing coordination for supporting intelligent computing.
随着人工智能技术的发展和成熟，人类社会算力缺口和智算应用能量开销持续快速增加。
以网强算、电算协同成为学术和工业界的共识。
以网强算旨在通过网络互联组成更大规模的算力基础设施，以便支撑大模型训练和推理，而电算协同则通过计算任务的时空调度匹配能源时空分布。
以网强算和电算协同有潜力从根本上解决未来人工智能大模型计算和推理的需求，并结合应用场景特点分解计算任务从而通过高速互联的网络解决算力和能源的协同问题。
本专题针对电算网一体化技术征集包含支撑智能计算的网络互联、计算任务调度、算力网络和电算协同相关的研究工作。
Chair: Dr. Chuan Liu, China Electric Power Research Institute, China
Chuan Liu is the director of energy digital research team of China Electric Power Research Institute. He is the winner of China Power Outstanding Youth Science and Technology Talent Award, the State Grid Corporation youth position expert, a Young Talent of the State Grid Corporation and a member of the Beijing Science and Technology Commission. He has long been engaged in power system communication, software-defined network, distributed resource aggregation regulation and energy digitization. He also participated in 4 national key research and development programs and more than 20 provincial and ministerial/company science and technology projects, published 53 high-level academic papers, authorized 59 patents, published 2 monographs, and issued 8 standards.
Co-chair: Dr. Xi Zhang, China Electric Power Research Institute, China
Xi Zhang is a senior researcher at China Electric Power Research Institute. He is also a visiting researcher at Imperial College London. He was selected in the national high-level talent scheme. He obtained his bachelor's degree in the Department of Electrical Engineering at Tsinghua University and completed his doctoral studies in Electrical Engineering at Imperial College London. He has been extensively involved in research on integrated optimisation of computing and electric power, intelligent control of virtual power plants, and electric vehicle collaborative control. As a core research team member, he participated in five national-level scientific projects in China the UK and led 4 key scientific projects at the headquarters of the State Grid Corporation of China. He has published over 50 papers in SCI/EI journals.
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