宁德时代+达卯科技，布局“AI+能源”融合新路径

Core Viewpoint - DaMao Technology has completed nearly 100 million yuan in A+ round financing, indicating a strategic shift by CATL from an "energy equipment manufacturer" to a "zero-carbon energy manager" and highlighting the acceleration of digital transformation in the energy sector [1][10]. Group 1: Industry Trends - The transition of China's power system is moving from a traditional "source-following-load" model to a "source-grid-load-storage interaction" model due to the rapid increase in renewable energy share [3]. - AI technology is becoming a key tool to address the challenges posed by the volatility and intermittency of wind and solar power, which require higher demands for grid balance [3]. Group 2: Company Developments - DaMao Technology is the first domestic AI company to apply energy large models in electricity collaboration, virtual power plants, and broader energy scenarios [1]. - The company has developed a self-adaptive energy operation system based on its fully self-developed energy large model, which significantly enhances the real-time performance, accuracy, and interpretability of energy system balancing strategies [5][6]. Group 3: Technological Achievements - DaMao Technology's predictive accuracy has reached over 90%, and decision-making accuracy has reached 95% in energy system operations [5]. - The company has successfully implemented its technology in multiple demonstration projects, achieving over 25% improvement in energy operation revenue and a 6.5% reduction in energy costs in specific collaborations [8]. Group 4: Strategic Value of Financing - The recent financing will be used for the independent research and commercialization of core technologies related to energy large models and electricity collaboration platforms, further solidifying DaMao Technology's leading position in the field [10]. - The investment from CATL represents a critical step in its strategic transformation towards becoming a comprehensive energy solution provider, integrating real-time sensing, prediction, decision-making, and optimization capabilities [10][12].