领航绿色能源数字化 海博思创获评2025能源互联网最佳实践案例

Core Viewpoint - The article highlights the successful integration of artificial intelligence (AI) and energy storage solutions by Haibo Technology, showcasing its innovative approach and contributions to the green energy sector, particularly in the context of the 2025 National Energy Internet Conference held in Hangzhou [1][4]. Group 1: Technological Innovations - Haibo Technology has developed a comprehensive "AI + Energy Storage" technology system based on its self-developed Haibo Cloud big data platform, integrating various data sources for optimized energy storage management [2][3]. - The platform employs a "cloud-edge-end" collaborative design to ensure real-time data processing and global optimization in decision-making, utilizing advanced algorithms such as LSTM and multi-agent deep reinforcement learning [2][3]. - The company has addressed three core issues in the energy storage industry: enhancing energy efficiency through AI-driven charge and discharge strategies, reducing operational costs with predictive maintenance models, and improving battery management with a digital twin model that significantly outperforms industry standards [2][3]. Group 2: Industry Impact and Future Outlook - The successful practices of Haibo Technology serve as a model for the energy storage industry's digital transformation, demonstrating the feasibility of AI in enhancing project economics and contributing to the establishment of national standards [4]. - The company has collected over 200TB of data related to energy storage products and stations, providing essential support for collaborative development across the industry chain [4]. - Looking ahead, Haibo Technology aims to continue its innovation in integrating AI with energy storage systems, contributing to the green and low-carbon transformation of the energy sector through ongoing technological research and commercial practices [4].