在电力市场化改革与"双碳"目标深度融合所催生的千亿级虚拟电厂市场蓝海中，AI技术的应用瓶颈成为 行业发展的关键桎梏。协鑫能科（002015）总裁费智近日在接受中国证券报记者专访时透露，公司正以 AI大模型研发与场景拓展为突破口，通过AI多智能体协同机制，攻克能源精准预测核心难题，同时锚 定"能源资产+能源服务"双轮驱动战略加速全球化布局，全力推进从国内绿色能源运营商向全球能源科 技服务商的战略转型。 多智能体体系落地见效 ● 本报记者 刘杨 AI攻坚能源精准预测困局 当前，AI技术在能源领域的应用前景广阔，但仍面临诸多亟待突破的瓶颈。费智坦言，风光储一体 化、虚拟电厂、能源电力交易等项目的推进，核心症结在于发电功率预测、用电负荷预测和能源聚合协 同控制的高精度问题。 "行业内的能源AI预测模型普遍存在场景缺失问题，加之能源业务种类繁杂、流程复杂，想要利用海量 历史负荷数据和气象数据训练时序大模型，精准捕捉负荷与气象等因素的长期关联性，同时适应季节变 化、极端天气等非平稳条件，实现提前数天至数周的精准预测，并依托长期市场规律制定精准竞价策 略，构建具备超长时序记忆和强大泛化能力的AI大模型，是行业共同面临的挑战 ...

● 本报记者 刘杨 自2012年参与国内首个需求侧管理试点城市项目以来，协鑫能科在虚拟电厂领域已深耕13年，全程参与 可调控负荷、辅助服务以及现货市场等各发展阶段，如今已形成数据全面、客户广泛、模型完善等综合 优势。 "截至目前，公司管理的用户负荷规模超20GW，经市场检验的可调负荷规模约835MW，其中在江苏省 内辅助服务市场实际可调负荷规模占比约35%。这一成绩的取得，离不开AI技术的有力支撑。"费智告 诉记者，通过自主研发的AI大模型，公司实现了精准预测、动态调控、算法重构，打通"预测-决策-执 行"全链路，显著提升智能交易水平。借助该大模型，协鑫能科对综合能源系统尤其是用户侧的可调度 潜力评估精度提升10%以上，同时使分布式能源系统的整体运行成本降低约3%。更重要的是，AI智能 体及能源大模型的应用，有效提高了用户使用绿色能源的意愿和积极性，进一步促进绿色能源消费。 在策略优化、智能运维等场景中，AI技术的落地成效同样显著。智能运维方面，协鑫能科与蚂蚁数科 联合成立的"蚂蚁鑫能"开发的智能巡检解决方案，打造出"无人值班、少人值守、集中监控"的运维管理 新模式，目前已在公司内部风电场、光伏电站投入应用， ...

Investment Rating - The report maintains a "Buy" rating for the financial technology sector, particularly for C-end companies benefiting from an active capital market [2][23][37]. Core Insights - The report highlights the continuous optimism for financial technology, with C-end companies directly benefiting from the active capital market [2][4]. - Key companies such as Desay SV, DaoTong Technology, and Huada Jiutian have shown significant performance improvements, with Desay SV exceeding expectations in overseas markets and DaoTong leveraging AI strategies effectively [2][19][25][34]. - The report anticipates a strong correlation between the revenue of financial technology C-end companies and the trading volume in the market, projecting over 50% year-on-year revenue growth for Q2 2025 [5][9]. Summary by Sections Financial Technology Sector - The report emphasizes the active trading environment in the market, with a total margin balance exceeding 2 trillion yuan, indicating sustained trading activity [4][5]. - The average daily trading volume for the Shanghai Composite Index in Q2 2025 was 498.8 billion yuan, a year-on-year increase of 36%, while the Shenzhen Component Index saw an average of 733.2 billion yuan, up 59% year-on-year [4][5]. Key Company Updates - **Desay SV**: Reported a revenue of 14.644 billion yuan in H1 2025, a 25.25% increase year-on-year, with a net profit of 1.223 billion yuan, up 45.82% [19][20][23]. - **DaoTong Technology**: Achieved a revenue of 2.345 billion yuan in H1 2025, a 27.3% increase, with a net profit of 480 million yuan, up 24.3% [25][26]. - **Huada Jiutian**: Generated a total revenue of 502 million yuan in H1 2025, a 13.01% increase, despite a net profit decline due to increased stock payment expenses [31][32]. Investment Opportunities - The report identifies several key investment targets within the financial technology sector, including companies like Kingsoft Office, Wanxing Technology, and DaoTong Technology, which are positioned to benefit from the ongoing market dynamics [2][39]. - The report also highlights the potential for B-end financial technology companies to benefit from the active market, including firms like New大陆 and 恒生电子 [18].