Core Insights - The "AI + Energy Development Conference" held in Beijing focused on exploring new paths and opportunities for the integration of AI and the energy industry, attracting over 300 representatives from government, energy companies, and academia [1] Group 1: AI Integration in Energy - The core challenge in renewable energy is its volatility and randomness, particularly with wind and solar power, which poses high demands on grid scheduling and operational optimization [1] - Distributed photovoltaic (PV) systems are expected to account for over 40% of China's total PV installed capacity by 2024, complicating management due to their small size and dispersed nature [1] Group 2: AI Implementation Achievements - Beijing Sifang Automation has achieved significant results in AI applications for power automation, integrating data from distribution automation systems with electricity information collection systems to enhance the accuracy of distributed PV power forecasting [4] - A pilot project in Huai'an has successfully covered over 60,000 PV stations, achieving an average prediction accuracy of over 80%, which meets engineering standards and supports grid scheduling [4] Group 3: Challenges in AI Deployment - Despite recognizing the value of AI, significant bottlenecks remain in its large-scale implementation in the power sector, primarily related to data quality and standardization [5] - The lack of high-quality fault and anomaly data limits the training of adaptable AI models, while inconsistent data standards across different manufacturers complicate the deployment of AI technologies [5] Group 4: Proposed Solutions - Data sharing and standardization are identified as key areas for overcoming current challenges, with suggestions for utilizing federated machine learning to enable collaborative data use without compromising privacy [6] - The establishment of unified data input/output standards and IoT communication protocols is essential for facilitating efficient collaboration and scaling AI applications in the energy sector [6]

1月30日—31日，以"智赋未来能启新篇"为主题的"中关村论坛系列活动——AI+能源发展大会"在北京中关村会议中心隆重举行。大会由中国能源报、中国节 能协会等五大单位联合主办，六大机构协办，吸引了300多位来自政府部门、能源企业、产业链创新企业的代表及院士专家齐聚一堂，共探AI与能源产业融 合发展的新路径、新机遇。 龙德缘电力集团董事、北京龙智易科技发展有限公司总裁张瑞，聚焦用户侧配用电领域，分享了"AI赋能用户侧'源网荷储'一体化发展"的实践成果与思考， 提出"AI破解用户侧配用电痛点，从智能运维、电力交易、一体化调度三个维度实现降本增效"的核心观点，剖析了行业面临的现实挑战。 t works 张瑞表示，龙德缘电力主要为工商业客户提供配用电侧服务，区别于发电侧、输配电侧的AI应用，其核心聚焦用户侧末端，自2016年启动电力服务数字 化、智能化转型以来，近两年重点发力AI技术应用，已在三大场景实现突破。 一是智能运维场景，针对新能源发展带来的用户侧智能微电网普及、电能质量要求提升等趋势，依托AI声纹诊断、多模态技术，开展用户侧电网故障预 警，相较于传统方式，大幅提升了预警的时效性和准确率，降低了运维成本。二是 ...