ZhuhaiMay 19, 2026 /PRNewswire/ — Reported by China Energy Network:
On May 15, the second “Zhiyuan·Guangqi” Digital Technology Conference was held in Zhuhai. In the afternoon, a special session on “Smart Energy” was convened by the Distributed Energy Professional Committee of the China Energy Research Society. The session closely adhered to the theme “AI Renewal, Data-Driven Future”, focusing on low-carbon transformation and digital technology empowerment. It engaged in in-depth exchanges on the innovative application of technologies such as artificial intelligence, big data, and the Internet of Things across the entire chain of energy production, transmission, storage, and consumption, providing digital and intelligent support for the high-quality development of the energy industry.
The special session was chaired by Duan Jieyi, Director of the Distributed Energy Professional Committee of the China Energy Research Society. Wang Jiye, former Chief Information Officer of State Grid Corporation of China, attended and delivered a speech. During the special report segment, several industry experts and corporate representatives delivered insightful presentations on topics including the restructuring of new energy systems, smart rural energy services, zero-carbon park construction, energy transition in the Greater Bay Area, power and electricity analysis and forecasting, integrated smart energy solutions, and AI empowering “dual carbon” governance. These included Zhao Fengyun, Deputy Director of the Energy Internet Professional Committee of the China Energy Research Society, Professor-level Senior Engineer, and expert receiving special government allowances from the State Council; Jing Tianjun, Vice Dean and Doctoral Supervisor at the College of Information and Electrical Engineering, China Agricultural University; Zhang Feng, IEEE PCCC Distinguished Engineer, IET Fellow, and Professor-level Senior Engineer; Wang Peng, Deputy Director of the Energy Strategy and Carbon Asset Research Center at the Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, and Doctoral Supervisor at the School of Energy Science and Engineering, University of Science and Technology of China; Peng Kunmin, Vice President of Huawei Integrated Energy Service Corps; Zhao Weibo, Director of the Electricity Technology Research Office at the Energy Utilization Research Institute, China Electric Power Research Institute; and Dong Xingwen, Director, Chief Information Officer, and General Manager of the Digital Energy R&D Center at Haier New Energy Technology Co., Ltd.
Wu Dan, Deputy General Manager of Yuanguang Energy Internet Industry Development (Hengqin) Co., Ltd., delivered a presentation titled “AI Empowering ‘Dual Carbon’ Governance: From Policy Assessment to Energy-Carbon Management Collaborative Practice”. Using the “Carbon Peak and Carbon Neutrality Comprehensive Assessment and Evaluation Measures” as a starting point, he systematically elaborated on the governance logic behind the policy and, combined with scenarios in parks and enterprises, shared innovative practices in energy-carbon collaborative management. He noted that the most significant change in this policy is that dual-carbon work has entered a new phase of greater institutionalization, annualization, and closed-loop management. Facing new requirements, traditional methods of year-end statistics and manual reporting are no longer sufficient. Dual-carbon management needs to shift towards high-frequency, refined, and traceable governance capabilities—this is precisely where the value of AI empowerment lies: from business to data, from trends to insights; from manual judgment to intelligent early warning; from result statistics to process governance. Ultimately, policies, indicators, and AI capabilities must converge and be applied to specific scenarios in parks and enterprises. The company has developed five core scenario capabilities around energy-carbon collaboration: declaration and planning, monitoring and diagnosis, scheduling and optimization, assessment and evaluation, and assets and trading, with AI comprehensively empowering each link. He also emphasized that the electricity market is a key external scenario for energy-carbon collaboration. A company’s future carbon emissions and energy costs depend on electricity consumption timing, energy structure, energy storage configuration, demand response, and coordination with the green electricity, green certificate, and carbon markets. Low-carbon operations do not mean using less electricity, but rather comprehensively optimizing among production plans, load curves, electricity price trends, green electricity ratios, and carbon constraints.
He further pointed out that the next phase of dual-carbon governance will see three shifts: from result statistics to process governance, from compliance requirements to operational capability, and from standalone tools to systemic capabilities. Future dual-carbon governance is not just about seeing carbon, but understanding carbon, managing carbon, and optimizing carbon.
Concurrently with the conference, an initiative activity to co-create a new smart energy ecosystem was held. Units including Huawei, State Grid Zhejiang Comprehensive Energy, Goldwind Smart Energy, Haier New Energy, Pairotech, Youtel Technology, Yuanguang Software, and China Energy Network jointly launched the initiative to promote the construction of a collaborative, efficient, green, and low-carbon new energy development ecosystem.
In the digital technology innovation achievements exhibition area of the conference, Yuanguang Energy Internet Industry Development (Hengqin) Co., Ltd. showcased its core achievements in the smart energy field. It highlighted innovative products and benchmark practices such as the energy-carbon management platform, the source-grid-load-storage integrated control platform, zero-carbon park solutions, and comprehensive smart energy operation systems. This comprehensively demonstrated the company’s technical capabilities and implementation results in AI-empowered dual-carbon governance and the digital and intelligent upgrade of the entire energy chain, providing replicable and scalable practical references for the green, low-carbon, intelligent, and efficient development of the energy industry.