On October 22, 2026, the 7th CPEM Power AI Conference, the 5th Power Industry Digital Transformation Conference, and the 2026 2nd Power Embodied Intelligence Conference opened in Hangzhou. The conference was jointly hosted by CPEM National Power Equipment Management Network, China Information Association Energy Working Committee, National Energy Smart Grid (Shanghai) R&D Center, Complex Energy Systems Intelligent Computing Ministry of Education Engineering Research Center, and AI Ecological Industry Collaboration Platform. Over 1,500 representatives from State Grid, China Southern Power Grid, power generation enterprises, provincial and municipal power companies, power research institutes, power design institutes, universities, and domestic and international AI R&D and manufacturing enterprises attended.
国家能源局信息中心原主任梁建勇、国网浙江省电力有限公司原党委副书记、副总经理李海翔发表了致辞。2026年是十五五开局起步之年，我们正处在构建新型电力系统、推进能源绿色低碳转型的关键时期。新能源装机持续快速增长，源荷双侧的不确定性显著上升，电网运行的复杂度前所未有。靠传统的经验和规则，已经难以应对一个高比例新能源、高比例电力电子设备的系统。与此同时，人工智能技术突飞猛进，大模型、具身智能正在从实验室走向生产现场。
Liang Jianyong, former director of the National Energy Administration Information Center, and Li Haixiang, former deputy party secretary and vice general manager of State Grid Zhejiang Electric Power, delivered speeches. 2026 is the opening year of the 15th Five-Year Plan; we are at a critical period of building a new power system and advancing green low-carbon energy transformation. New energy installed capacity continues rapid growth, source-load bilateral uncertainty has significantly increased, and grid operation complexity is unprecedented. Traditional experience and rules can no longer cope with a system featuring high proportions of new energy and power electronic equipment. Meanwhile, AI technology is advancing rapidly, with large models and embodied intelligence moving from laboratory to production sites.
近两年，国家层面相继出台一系列政策推动电力人工智能和数字化转型。去年，国务院印发《关于深入实施“人工智能+”行动的意见》。国家发展改革委、国家能源局联合印发《关于推进“人工智能+”能源高质量发展的实施意见》，系统部署了“人工智能+”电网、能源新业态、新能源、水电、火电、核电、煤炭、油气八大应用场景。今年，算电协同首次写入政府工作报告并纳入新基建工程，国家发展改革委、国家能源局、工业和信息化部、国家数据局联合印发了《关于促进人工智能与能源双向赋能的行动方案》，明确提出到2027年初步构建支撑人工智能创新发展的安全、绿色、经济的能源保障体系，到2030年人工智能与能源双向赋能取得明显成效。
In the past two years, national-level policies have successively promoted power AI and digital transformation. Last year, the State Council issued "Opinions on Deeply Implementing the 'AI Plus' Action." The National Development and Reform Commission and National Energy Administration jointly issued "Implementation Opinions on Promoting 'AI Plus' Energy High-Quality Development," systematically deploying eight major application scenarios: AI plus power grids, new energy business formats, new energy, hydropower, thermal power, nuclear power, coal, and oil and gas. This year, "computing-power coordination" was written into the government work report for the first time and included in new infrastructure projects; the NDRC, NEA, MIIT, and National Data Administration jointly issued the "Action Plan for Promoting Two-Way Empowerment of AI and Energy," explicitly proposing to initially build a safe, green, and economical energy guarantee system supporting AI innovation by 2027, and achieve notable results in two-way AI-energy empowerment by 2030.
大会第一天的报告里，有多场和具身智能直接相关。国网公司首席专家郭锐以“基于具身智能的配网带电作业机器人关键技术研究与应用”为主题做了报告。国网浙江电力有限公司杭州供电公司输电运检中心四级专家丁建分享了“空间信息驱动下无人机加机械臂协同作业的浙江实践”。南方电网电力科技股份有限公司AI开发工程师屈贤的报告主题是“面向电力巡检的大模型及Agent研发与落地”。广东电网有限责任公司电力科学研究院技术监督所所长刘高的报告聚焦“电网生产两个无人化，数字生产自治协同大脑研究”。这些报告的共同点是，把具身智能、大模型、机器人这些技术，放进电力巡检、带电作业、设备运维这些具体场景里，讨论怎么落地。
Among the first day's reports, several were directly related to embodied intelligence. State Grid Chief Expert Guo Rui presented on "Key Technology Research and Application of Embodied Intelligence-Based Distribution Network Live-Line Working Robots." Ding Jian, Level 4 Expert at State Grid Zhejiang Hangzhou Power Supply Company's Transmission Inspection Center, shared "Zhejiang Practice of UAV plus Robotic Arm Collaborative Operations Driven by Spatial Information." China Southern Power Grid Power Technology AI Development Engineer Qu Xian's report topic was "Large Model and Agent R&D and Deployment for Power Inspection." Liu Gao, Director of the Technical Supervision Institute at Guangdong Power Grid Electric Power Research Institute, focused on "Two Unmanned Operations in Grid Production—Digital Production Autonomous Collaborative Brain Research." These reports share a common point—placing embodied intelligence, large models, and robots into specific scenarios including power inspection, live-line work, and equipment maintenance, discussing how to deploy them.
这个大会放在前面讨论的产业脉络里，和几个信息能对上。前面讨论过国网天津电力把电能计量器具检定和电缆隧道巡检两处现场改造成机器人学校，也讨论过云深处的人形机器人在西湖路口协助交警执勤、在泸州音乐节做安保，还讨论过武汉把三条脑机接口技术路线都做出了临床案例、光谷国际脑机接口创新中心把上下游企业塞进一栋楼。这些案例的共同点是，电力、安防、医疗这些行业，正在成为具身智能落地的具体场景。电力行业的特殊性在于，它的作业环境高危、标准化程度高、客户付费能力明确，这三个条件加在一起，让它成为具身智能落地的一个优质试验场。
Placed in the industrial thread discussed earlier, this conference aligns with several information points. Earlier we discussed State Grid Tianjin Electric Power converting electric energy metering instrument verification and cable tunnel inspection sites into a robot school, Deep Robotics' humanoid robot assisting traffic police at West Lake intersections and providing security at Luzhou music festivals, and Wuhan producing clinical cases across all three BCI technical routes with the Optics Valley International BCI Innovation Center packing upstream and downstream enterprises into one building. These cases share a common point—power, security, and healthcare industries are becoming concrete scenarios for embodied intelligence deployment. The power industry's particularity lies in its high-risk operating environments, high standardization, and clear customer payment capacity; these three conditions together make it a high-quality testing ground for embodied intelligence deployment.
联盟成员单位的构成也值得看一眼。大会展区汇聚了超百家在电力数字化与智能化领域表现卓越的解决方案及技术提供商。会议同期，第5届智创奖电力数智化转型技术创新应用评选结果公布。2026第4届全国配电人工智能及数字化大会以及2026AIDC供电及储能技术交流会暨算力网建设大会同期举办。这个组合说明，电力行业对人工智能和具身智能的关注，不只是单点技术验证，而是从配电到供电、从算力到储能的系统性布局。前面讨论过工信部上半年人形机器人整机产品超400款、全年产量有望破10万台，也讨论过机器人日租金一年跌超七成、具身智能行业10月融资骤降到19起。这些信息和电力行业这场大会放在一起，说明具身智能的落地正在从通用场景往垂直行业渗透，而电力行业是其中走得比较快的一个。
The composition of alliance member units also deserves a look. The conference exhibition area gathered over a hundred solution and technology providers excelling in power digitalization and intelligence. Concurrently, the 5th "Smart Creation Award" power digital-intelligent transformation technology innovation application selection results were announced. The 2026 4th National Distribution AI and Digitalization Conference and 2026 AIDC Power Supply and Energy Storage Technology Exchange Conference and Computing Network Construction Conference were held concurrently. This combination indicates the power industry's attention to AI and embodied intelligence is not just single-point technology validation but systematic布局 from distribution to power supply, from compute to energy storage. Earlier we discussed MIIT's first-half humanoid robot complete machine products exceeding 400 models with full-year output expected to break 100,000 units, robot daily rental rates dropping over 70% in a year, and embodied intelligence industry October financing dropping sharply to 19 deals. These information points together with this power industry conference indicate embodied intelligence deployment is penetrating from general scenarios to vertical industries, with the power industry among the faster-moving ones.
