Core Insights - The 2025 AI+ Conference held in Beijing focused on the theme "AI Next Decade: Scene-Driven × New Quality Engine," highlighting the integration of AI in various industries [1] - Haibo Sichuang won the "AI 100 Application Benchmark" award for its "Intelligent Platform for the Full Lifecycle of Energy Storage Systems," showcasing a practical example of AI integration in the energy sector [1] Group 1: AI Integration in Energy Sector - The platform aims to achieve full-process intelligence in large-scale electrochemical energy storage plants by integrating AI, big data, and multi-agent optimization technology [1] - Key objectives of the platform include safety, efficiency, longevity, and high returns, supporting the digital and intelligent operation and decision-making of energy storage assets [1] Group 2: Operational Efficiency and Market Participation - The platform enhances operational efficiency of energy storage systems by 3%-5%, reduces auxiliary energy consumption by 15%-20%, and lowers operational costs by over 30% [2] - It enables energy storage systems to participate in multiple market self-scheduling, maximizing revenue through price prediction and interval optimization using deep learning and reinforcement learning [2] Group 3: Future Directions - Haibo Sichuang emphasizes that the future of AI lies not in chasing technological trends but in deeply rooting itself in industrial applications [2] - The company plans to continue leveraging intelligence as a driving force to innovate in the energy sector, promoting a safer, more efficient, and sustainable energy system [2]
海博思创荣获“AI 100应用标杆”奖项