Core Viewpoint - The "Global Energy Low-Carbon Transition Development 2030 Suzhou Vision" emphasizes the need for international cooperation and collective action to address challenges in global energy transition over the next five years [1][2] Summary by Relevant Sections Current Challenges - The global energy transition is facing significant challenges, including worsening climate change, widening development gaps, rising protectionism and trade barriers, and insufficient modernization of infrastructure [1] Vision Points - The vision outlines six key points: 1. Strengthening the foundation of energy security to ensure stable energy supply and maintain international energy market stability [2] 2. Stimulating innovation and deepening institutional reforms to advance cooperation in the new energy industry chain [2] 3. Increasing the proportion of renewable energy in the global energy structure by developing low-carbon energy [2] 4. Promoting accessibility to modern energy services, aiming to reduce the population without electricity and ensure affordable and reliable energy for all by 2030 [2] 5. Advocating for multilateralism, opposing unreasonable green trade barriers, and supporting an open, fair, competitive, non-discriminatory, and free international energy market [2] 6. Mobilizing global capital and innovating financing tools to effectively fill the funding gap for global energy transition [2] Goals and Initiatives - The vision calls for a collaborative effort to enhance the share of clean energy in the overall energy structure and aims to double the global installed capacity of new energy generation by 2030 compared to 2024 [2] - It emphasizes the construction of new power systems and the integration of energy with artificial intelligence to foster a greener, low-carbon, and sustainable energy future [2]

Core Viewpoint - The implementation opinion released by the National Development and Reform Commission and the National Energy Administration aims to establish a preliminary integration innovation system between energy and artificial intelligence by 2027, enhancing the collaboration between computing power and electricity, and achieving significant breakthroughs in core technologies empowered by AI in the energy sector [1][3]. Group 1: Overall Requirements - The initiative is guided by Xi Jinping's thoughts and aims to deepen the integration of AI with the real economy, focusing on expanding application scenarios in the energy sector and enhancing the technological level of AI innovation [2]. - The goal is to improve the safety, reliability, and efficiency of energy systems, ensuring stable energy supply and supporting green and low-carbon transitions [2]. Group 2: Goals by 2027 - By 2027, the integration innovation system will be established, with significant breakthroughs in AI technologies applied to energy, including the deployment of over five specialized large models in various energy sectors [3]. - The initiative aims to identify over ten replicable and competitive demonstration projects and explore hundreds of typical application scenarios, fostering a batch of AI technology application R&D platforms in the energy sector [3]. Group 3: Application Scenarios - AI applications in the power grid will focus on safety, efficiency, and renewable energy consumption, including intelligent forecasting, diagnostic analysis, and planning [5][7]. - AI will also enhance new energy applications, such as virtual power plants and distributed energy storage, improving load-side optimization and dynamic response capabilities [9][10]. Group 4: Key Technology Supply - The initiative emphasizes addressing technical bottlenecks in the energy sector, including data isolation, fragmented computing power, and algorithm opacity, by promoting common key technology breakthroughs [31]. - It aims to establish high-quality data sets and enhance the integration of computing power and electricity, ensuring a robust foundation for AI applications in energy [31][32]. Group 5: Implementation and Support - Local energy authorities and relevant enterprises are encouraged to establish mechanisms to promote the development of AI in the energy sector, ensuring safety and innovation [33]. - The initiative will support pilot demonstrations of AI applications in energy, encouraging cross-sector collaboration and the establishment of innovation alliances [34][35].