On January 25, the innovative project "Key Technologies and Applications of High-Trustworthiness AI Scheduling via Multi-Agent Collaboration for Ultra-Large-Scale Power Grids," submitted by Professor Jianwei Huang, Professor Junhua Zhao from our institute, and the Dispatch and Control Center of Guangdong Electric Power Grid Co., Ltd., won the Top Award in the 3rd National Artificial Intelligence Application Scenario Innovation Challenge. It is the only project in the "AI + Energy and Power" field to receive this top honor.

The competition was organized by the Chinese Association for Artificial Intelligence, centered on the theme "Scenario-Driven, Digital-Intelligence for a Strong Nation." It employed a three-tier format of online selection, specialized advancement, and national finals. The finals included dataset evaluation, project roadshows, and defense sessions, comprehensively assessing entries on aspects like algorithms, functionality, systems, and data. Among 3,314 projects from various industries, universities, research institutes, and enterprises across the country, this project stood out. It competed with top-tier capabilities against over 350 industry elites, gained wide recognition from experts in the AI field, and secured the Top Award. Furthermore, the project was selected as a National Typical Case of AI Application Scenarios.

Artificial intelligence is a key arena for future global competition, and scenario application provides the most fertile ground for technology implementation. Building upon the major national scientific and technological project direction of "Multi-Scenario Intelligent Unmanned Operation Systems" at Guangdong Electric Power Grid, the research groups of Professor Huang Jianwei and Professor Zhao Junhua developed an intelligent scheduling system that spans the entire "perception-decision-control" chain based on artificial intelligence. They created Moonlight, the first provincial-level AI dispatcher for large-scale power grids in China. This fully demonstrates the leading capabilities of our Institute's collaboration with Guangdong Electric Power Grid in the field of dispatch digitalization and intelligence, as well as the effectiveness of AI application.

Moving forward, the Shenzhen Loop Area Institute will jointly establish an "AI + Energy" Joint Laboratory with Guangdong Electric Power Grid Co., Ltd. and the Shenzhen Institute of Artificial Intelligence and Robotics. The aim is to build a national-level, entity-operated innovation platform integrating industry, academia, research, and application, leading in academic research. Responding to the national "AI +" initiative and the energy revolution strategy, the lab will focus on core areas such as digitalization and intelligence in power science, system-level digital employees, and site-level embodied intelligence. It will integrate the three parties' advantages in scenario resources, theoretical research, and technological development, deepen international cooperation and industry standard formulation, and promote technological breakthroughs, achievement translation, and innovation incubation. This will inject strong momentum into developing new quality productive forces in the Guangdong-Hong Kong-Macao Greater Bay Area and into the nation's intelligent, low-carbon energy transition. It serves as a crucial practice for the Institute to deepen industry-education integration and demonstrate its research strength and international 

Introduction

Professor Jianwei Huang

Professor Jianwei Huang is currently a joint appointment professor at the Shenzhen Loop Area Institute, a Presidential Chair Professor and Associate Vice President (Institutional Development) of The Chinese University of Hong Kong, Shenzhen. He is also the Associate Director of the Shenzhen Institute of Artificial Intelligence and Robotics for Society. He has been an IEEE Fellow, a Distinguished Lecturer of IEEE Communications Society, and a Web of Science Highly Cited Researcher in Computer Science, and an Elsevier Most Cited Chinese Researcher. He received the PhD degree from Northwestern University (USA) in 2005, worked as a Postdoc Research Associate at Princeton University (USA) during 2005-2007, and worked as Assistant/Associate/Full Professor at the Department of Information Engineering at the Chinese University of Hong Kong during 2007-2018.

Dr. Huang’s research interests lie in the nexus of network optimization, network economics and crowd intelligence, and he has published 400+ papers in leading international journals and conferences, with a total Google Scholar citations of 20000+. His work has earned 13 Best Paper Awards, including the IEEE Marconi Prize Paper Award in Wireless Communications in 2011. He has co-authored 8 books, including the textbook of "Wireless Network Pricing". He received the CUHK-Shenzhen Distinguished Research Award 2023, the IEEE ComSoc TCCN Publication Award 2022, the CUHK Young Researcher Award in 2014 and IEEE Communications Society Asia-Pacific Outstanding Young Researcher Award in 2009.

Professor Junhua Zhao

Professor Junhua Zhao is currently a visiting professor at the Shenzhen Loop Area Institute, a professor at the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen. He is also the Executive Director of CUHKSZ - CSIJRI Joint Centre of Smart Energy Storage, the Director of the Energy Market and Energy Finance Laboratory at Shenzhen Finance Institute (SFI) and a researcher at Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS). Before returning to China, he acted as the Principal Research Scientist of the Centre for Intelligent Electricity Networks, the University of Newcastle, Australia, with 11 years of working experience in the power industry in Australia. He has been engaged in research on smart grid, electricity market, low-carbon transition, and artificial intelligence for a long time. Dr. Junhua Zhao has published 300+ research papers in famous domestic and international journals and international conferences, including one in Joule (Cell Press), one in Patterns (Cell Press), two in Scientific Data (Nature Publishing Group), and one in Engineering (Published by the Chinese Academy of Engineering). More than 60 papers have been published in IEEE Transactions. The published papers have been cited 19000+ times, and the H-index is 68 (according to Google Scholar statistics). Dr. Junhua Zhao also co-authored two books in English.

Top Award, 3rd National Artificial Intelligence Application Scenario Innovation Challenge

Certificate for National Typical Case of AI Application Scenarios

Plaque for Outstanding Organizing Unit, 3rd National Artificial Intelligence Application Scenario Innovation Challenge