Core Insights - The forum themed "Deep AI Energy, Creating the Future" focused on the integration of AI and green energy transformation, highlighting the application prospects and practical challenges in this area [1][3] Group 1: Government and Institutional Perspectives - The global energy landscape is undergoing profound digital and intelligent transformations, with AI and energy green transition being key to achieving high-quality development under China's "dual carbon" goals [3] - Shenzhen is actively exploring "AI + Energy" innovations as a national low-carbon pilot city and digital economy hub, aiming to enhance collaboration to contribute to the "dual carbon" goals and address global climate change [3] Group 2: Corporate Innovations and Achievements - Shenzhen Energy Group has established an intelligent system covering the entire energy industry chain, marking a historic leap from technological exploration to system integration in "AI + Energy" [3][4] - The company has released six major technological innovations this year, including AI intelligent monitoring and green low-carbon management, emphasizing the importance of technological innovation in its operations [3] Group 3: AI Technology Development and Applications - AI technology is rapidly evolving towards multi-modal, intelligent agents, and deep integration, which will reshape the energy and power industry's technological landscape [4] - The integration of AI with clean energy is expected to significantly promote green energy development, with the majority of new electricity demand to be met by new clean energy generation by the end of the 14th Five-Year Plan [4] Group 4: Expert Discussions and Future Directions - Experts from various organizations discussed the innovative applications of AI in power system planning, intelligent scheduling, energy simulation modeling, and digital governance, providing forward-looking insights for the deep integration of AI and the energy industry [5] - The next steps involve promoting deep integration of AI with practical scenarios, aiming to create a self-coordinating and intelligent industrial ecosystem, with AI playing a crucial role in energy efficiency and carbon reduction [4][5]