2 1 Shi Ji Jing Ji Bao Dao·2025-06-10 04:14Core Insights - The integration of energy and AI represents a deep fusion of the real economy and digital technology, driven by policies aimed at enhancing efficiency and controlling carbon emissions [1][4] - The concept of a "closed-loop" system in energy digitalization is essential for creating incremental value, emphasizing the importance of perception, cognition, and decision-making [2][3] - The energy sector is undergoing a transformation towards digitalization, with New Hope Energy's initiatives leading to significant energy savings and carbon reduction [3][5] Energy and AI Integration - The development of "Energy + AI" is characterized by a closed-loop system that enables intelligent decision-making, which is crucial for adding value to clients [2][3] - New Hope Energy has implemented a comprehensive energy system that integrates various energy sources, aiming to provide deep energy and carbon digital services to over 9,500 enterprises and 200 parks by 2025 [3] Challenges and Future Outlook - The current stage of "Energy + AI" is likened to a youthful phase, with various factors influencing its maturity, including policy guidance and industry recognition [4][6] - The energy sector faces challenges in adopting AI due to the complexity and real-time nature of industry data, necessitating a shift from single-point product optimization to comprehensive energy solutions [5] - The future of energy digital services will depend on the ability to create standardized solutions and modules that can be adapted to different industry needs, fostering a platform for innovation [5][6]