At this crucial moment when global climate governance and energy structure transformation are accelerating, new energy technologies are facing a strategic opportunity period to leap from large-scale development to high-quality advancement. As the core engines of the digital revolution, computer science and artificial intelligence (AI) are reshaping the paradigm of new energy technologies with unprecedented depth and breadth: from the inverse design of new energy materials based on deep learning to the dynamic regulation of intelligent microgrids empowered by reinforcement learning; from the intelligent defect identification of wind and solar equipment driven by computer vision to the secure cross-regional energy data sharing supported by federated learning; from the full life-cycle simulation of energy storage systems supported by digital twins to the trust system for distributed energy trading constructed via blockchain technology... Computer and AI technologies are becoming core enabling tools for breaking through the physical limits of new energy, optimizing system operational efficiency, and innovating business models.

This conference is committed to establishing a cross-disciplinary, open, and shared international collaboration platform that brings together top-tier scientific research forces and industry pioneers in fields such as computer science, AI algorithms, and energy systems engineering. It will conduct in-depth discussions centered around the theme of "Digital-Intelligence Integration Driving the Energy Revolution, Collaborative Innovation Building a Green Future." The conference will focus on the dimension of technological breakthroughs, exploring the application potential of large AI models in the discovery of new energy materials, the optimization and solution capabilities of quantum computing for complex energy systems, and real-time perception and control technologies integrating edge intelligence with the Internet of Things (IoT). Simultaneously, it will pay attention to the dimension of industrial applications, sharing practical cases of intelligent operation and maintenance in offshore wind farms, innovative models of AI-based prediction in virtual power plant scheduling, and breakthrough progress in digital twin applications for safety management and control in hydrogen energy storage and transportation. Moreover, it will focus on advancing the dimension of ecosystem construction, continuously improving the collaborative innovation ecosystem through measures such as the formulation of cross-domain standard systems, the establishment of joint research and development mechanisms involving industry, academia, research, and application, and the cultivation of data element markets.

Through diverse formats such as invited keynote speeches and roundtable dialogues, the conference will systematically dissect how computer and AI technologies are reconstructing the technology chain, value chain, and ecological chain of new energy, injecting innovative momentum and intellectual support into the evolution of the global energy system towards clean, low-carbon, safe, efficient, intelligent, and flexible directions.