Data, as a key new production factor for the development of new productive forces in the digital era, is reshaping the development landscape of various industries. Artificial intelligence (AI), as an advanced production tool, has significantly enhanced production efficiency. The energy and power industry, serving as the cornerstone supporting the high-quality development of the whole society, is also a huge system where data and AI have broad application prospects. Deeply exploring the value of energy and power data elements and innovating the application of AI in the construction of new power systems have become core tasks for the industry's future development. The 2025 Government Work Report clearly states the need to actively promote the development and utilization of new energy, deeply tap the value of data resources, continuously advance the "AI+" initiative, and fully stimulate the innovative vitality of the digital economy. On the one hand, data elements and AI technologies are the core driving forces to stimulate productivity in the energy and power industry, urgently requiring in-depth research on innovative technologies, application scenarios, and model methods; on the other hand, practical challenges such as data ethics, AI dependency, network security, and policies and regulations cannot be ignored and need to be given key attention.
Against this backdrop, in-depth exploration of data elements and AI application technologies in the energy and power industry is of great strategic significance for ensuring high-quality energy supply, improving efficiency, enhancing security, and unleashing high-value potential. The editorial office of Electric Power specially invites Wang Jiye, Executive Director of the Big Data and Statistics Branch of the China Electricity Council, Professor-level Senior Engineer, and PhD Supervisor; Pu Tianjiao, Deputy Chief Engineer of the China Electric Power Research Institute Co., Ltd. and Director of the Institute of Artificial Intelligence; Wang Chen, Chief Engineer of the National Engineering Research Center for Big Data System Software at Tsinghua University, Director of the Big Data Research Institute of Tsinghua Sichuan Energy Internet Research Institute, and a think tank expert of the Big Data and Statistics Branch of the China Electricity Council; and Wang Yongzhen, Associate Professor, PhD Supervisor, and Deputy Director of the Department of Energy and Power Engineering at Beijing Institute of Technology, to serve as guest editors, carefully planning the column "Energy and Power Data Elements and Artificial Intelligence Applications". This column aims to gather industry wisdom, showcase the latest research achievements, promote academic and technical exchanges, and jointly promote the prosperity and development of this field. We warmly welcome experts, scholars, and researchers in related fields to contribute articles.
Contribution Directions (including but not limited to)
1. Research on circulation and security protection technologies for energy and power data elements
2. Research on value mining methods, models, and application scenarios of energy and power data elements
3. Research on integration, sharing, and internal/external applications of energy and power data elements
4. AI-empowered new energy and new load forecasting research
5. AI-empowered new power grid construction and operation research
6. AI-empowered new power market operation and optimization research
7. AI-empowered control optimization for new business entities
8. Energy consumption optimization and operation scheduling of AI infrastructure
9. Big data and AI-empowered situational awareness of provincial energy systems
10. Big data and AI-empowered risk early warning and control technology research for energy and power systems
11. Innovative practices of DeepSeek+AI technology in the power industry
12. Practices of big data and statistics in new power systems
13. New technologies and practices for energy AI construction
Column Paper Publication Plan
Submission Deadline: December 30, 2025.
Publication Schedule: Articles will be published in installments as columns in the first half of 2026. Column manuscripts enjoy a green channel for review in this journal. Once accepted, acceptance notices will be issued promptly, and online first publication will be prioritized.
Submission Requirements
1. Paper Writing Requirements: Approximately 6,000 words, typeset in Word. For the format, please refer to the Electric Power paper template (the latest version can be downloaded from the official website of Electric Power); English translations of the title, authors, affiliations, abstract, keywords, and references should be provided.
2. Funding Project Description: For papers funded by research projects, please provide the project name and number. Papers funded by national projects are exempt from page charges in this journal.
Submission Methods
Electric Power website: http://www.electricpower.com.cn. Register as an author with a username and password, submit manuscripts online, and select or indicate the column "Energy and Power Data Elements and Artificial Intelligence Applications".
Contact Persons:
Editorial Office of Electric Power, Yang Biao
Tel: 010-66603802, Email: yangbiao@sgeri.sgcc.com.cn
Wang Jiye, Email: wangjiye@epri.sgcc.com.cn
Pu Tianjiao, Email: tjpu@epri.sgcc.com.cn
Wang Chen, Email: wang_chen@tsinghua.edu.cn
Wang Yongzhen, Email: wyz80hou@bit.edu.cn
Introduction to Guest Editors
Wang Jiye, Executive President of the Big Data and Statistics Branch of China Electricity Council, Professor-level Senior Engineer, PhD Supervisor, and recipient of the Special Allowance from the State Council. He also serves as Director of the Smart Energy Special Committee of the Chinese Association for Artificial Intelligence, Director of the Energy Internet Special Committee of the China Institute of Communications, Deputy Director of the Carbon Peak and Carbon Neutrality Special Committee of the Chinese Society for Environmental Sciences, and Chairman of the IEEE PES Technical Committee on Power System Communication and Network Security (China).He has long been engaged in scientific research and industrial practice in the fields of energy internet, energy and power digitization, big data, and artificial intelligence. In recent years, he has presided over a National Key R&D Program project, undertaken 8 national scientific and technological projects and engineering demonstration projects, won multiple science and technology progress awards, published more than 60 papers, formulated 11 national and industrial standards, and received the Outstanding Contribution Award for Promoting China's Informatization Process.
Pu Tianjiao, Professor-level Senior Engineer and PhD Supervisor, currently serves as Deputy Chief Engineer of China Electric Power Research Institute and Director of the Institute of Artificial Intelligence. He has long been engaged in scientific and technological research in the fields of power system automation and power artificial intelligence, presiding over 6 national projects including the National Key R&D Program and Key Projects of the Smart Grid Joint Fund, as well as more than 20 provincial and ministerial scientific and technological projects such as the Key Projects of the Beijing Natural Science Foundation. He acts as Deputy Director of the Artificial Intelligence Professional Committee of the Chinese Society for Electrical Engineering and Secretary-General of the Artificial Intelligence Standards Committee of China Electricity Council. He has published 145 papers (115 included in SCI and EI), authorized 61 invention patents, and published 5 monographs. He has won 11 first prizes of scientific and technological progress at provincial and ministerial levels and by social forces, and has been awarded honors such as the China Electric Power Science and Technology Outstanding Contribution Award and the Electrical Industry Science and Technology Achievement Award.
Wang Chen currently serves as the Chief Engineer of the National Engineering Research Center for Big Data System Software at Tsinghua University and the Director of the Big Data Research Institute of Tsinghua Sichuan Energy Internet Research Institute. He is a member of the National Industrial Foundation Expert Committee and a think tank expert of the Big Data and Statistics Branch of the China Electricity Council. He has participated in the compilation of multiple national and ministerial digitization and big data plans, including the 14th Five-Year Plan for Big Data Industry, Data Elements X, and Trusted Data Space, and led the implementation of industrial big data projects for several leading manufacturing enterprises. Previously, he served as a Principal Researcher at IBM China Research Institute, Senior Manager of the Data Management Technology Research Department, and Head of IBM's Global Analytics Cloud Research Strategy. He has published nearly 100 papers in top international conferences and journals in the field of data, such as SIGMOD, VLDB, and ICDE, and obtained more than 60 invention patents in China and the United States. He has served as an editorial board member for multiple works, including Introduction to Big Data, Industrial Big Data Analysis Guide, Industrial Big Data Industry and Technology White Paper, and 100 Questions on Digital Transformation. He holds multiple social positions, including Deputy Secretary-General of the National Industrial Internet Industry Development Alliance (AII), Secretary-General of the Beijing Industrial Internet Technology Innovation and Industry Development Alliance, Senior Member of the China Computer Federation (CCF), Member of the Database Professional Committee, Deputy Leader of the Industry-University-Research Working Group, Member of the Big Data Professional Committee of the Chinese Association of Automation, Senior Member of the China Institute of Communications, Member of the Open Source Professional Committee, Executive Member of ACM SIGBED China, Leader of the Data Governance Working Group of the National Data Standards Committee, Deputy Leader of the Industrial APP Working Group of the National Information Technology Standards Committee, Leader of the Industrial Big Data Industry Group of the Big Data Working Group, Deputy Secretary-General of the Big Data and Manufacturing Integration Working Group of the National Two 化 Integration Standards Committee, Consultant Member of the Industrial Software Working Group, Member of the Science and Technology Committee of the National Industrial Information Security Development Research Center, Part-time Member of the Expert Committee of China Southern Power Grid Group, Member of the Academic Committee of the Key Laboratory of Industrial and Information Technology on Data Protection and Security Assessment in Industrial Fields, and PMC of the Apache Foundation's IOTDB project. He has received scientific and technological awards such as the First Prize of Beijing Science and Technology Progress (2020), the Gold Medal of the Geneva Invention Exhibition (2022), and the First Prize of the CCF Computer Application Innovation Product Award (2024).
Wang Yongzhen, Associate Professor, PhD Supervisor and Deputy Director of the Department of Energy and Power Engineering, Beijing Institute of Technology, and Assistant Director of Beijing Laboratory for Carbon Neutrality System Engineering (Beijing Institute of Technology). He is mainly engaged in energy digitization, top-level design, key technologies and strategic research on integrated electricity-heat computing and thermal cycles. He has presided over and participated in projects such as National Natural Science Foundation projects, projects of the National Development and Reform Commission, State Grid Corporation of China, and Beijing Municipal Development and Reform Commission. He has published more than 80 high-level papers, led and participated in the formulation of 5 energy industry standards, and published 2 monographs. His relevant technical research has been submitted to national ministries and commissions, and he has won the first prize of provincial-level associations.
