Artificial intelligence, as a core component of the strategy of building a strong technological country, has become a key element in developing new quality productive forces. In the current power industry, the construction of new power systems and new energy systems is reshaping the development path of the energy sector with unprecedented depth and breadth. Deepening the construction of the digital power grid, driven by technological innovation and guided by deepening reform, fully investing in the development of strategic emerging industries in artificial intelligence, and promoting the "two modernizations and two types" strategy has become a key measure for Southern Power Grid to address the challenges of energy transformation and solve the coordination problem of "source grid load storage" in the new power system. It is imperative to follow the trend of AI development. Artificial intelligence is a strategic technology that leads a new round of technological revolution and industrial transformation, with a strong driving effect of "leading geese". In the future, scientific and technological innovation in the fields of multimodal large model, federated learning, edge computing, agent brain, transfer learning, embodied intelligence, and reinforcement learning will go hand in hand. The inference cost, generalization ability, interpretability, complex computation, and simulation capability of the model will be significantly improved. Therefore, a correct understanding of the role of artificial intelligence, grasping the laws of artificial intelligence construction, identifying the focus of artificial intelligence development, and forming a systematic promotion system are the key to achieving high-quality development of the power grid, promoting industrial upgrading, and enhancing the core competitiveness of enterprises. In the context of the transformation of the power grid industry from a speed oriented to a quality oriented one, promoting the steady improvement of factor efficiency, organizational efficiency, and the added value of products and services provided in production activities inevitably requires the application of advanced science and technology and organizational methods to upgrade and transform traditional power grid production methods, enhance the "observability, measurability, and controllability" level of physical power grids, and promote the complementary and mutual assistance of multiple factors such as "source grid load storage". Compared with traditional technologies, artificial intelligence technology can significantly enhance the ability of the power grid to adapt to the widespread access of new energy. Taking power grid simulation as an example, the integration of new energy sources such as distributed and microgrids has made the power grid structure increasingly complex, involving significantly increased variables and parameters, and exponentially increasing computational complexity, making it difficult for traditional methods to accurately simulate the actual operation of the power grid. Artificial intelligence technology relies on deep neural networks to extract key features and patterns from massive, high-dimensional data, efficiently characterize complex power grid systems, and lay a solid foundation for the advanced development of the power grid industry. As is well known, traditional information technology business processes are mostly based on pre-set fixed rules, lacking sufficient flexibility and adaptability. Taking serving electricity customers as an example, with the continuous upgrading of user demands for power supply quality and personalized electricity services, the shortcomings of traditional informatization in data mining and deep analysis are becoming increasingly prominent. We can use artificial intelligence technology to deeply analyze user call demands, recommend personalized responses, and provide dynamic demand side management and customized services. This requires breaking the traditional relatively standardized service mode and forming a more intelligent and interactive relationship between power grid enterprises and users driven by artificial intelligence, empowering deep level changes in customer service operation models. The key to developing artificial intelligence lies in promoting the deep integration of technology and business. The power grid industry has the advantages of massive professional data and rich scenarios, providing the "soil" for the landing of artificial intelligence technology. Taking the intelligent analysis of distribution network as an example, starting from the business, targeting key issues such as "where the fault is, where the load is, where the low voltage is, where the risk is, and where the line loss is", AI technology is applied to conduct in-depth analysis of defects such as low voltage, heavy overload, three-phase imbalance, and power outage in the substation area, achieving transparency of the load status of the distribution network, timely discovering potential problems, and taking corresponding governance measures. The development of artificial intelligence technology requires strengthening multi technology collaboration. Taking the diagnosis of power grid equipment faults as an example, it involves machine vision for apparent feature recognition, machine learning for abnormal feature extraction, and reinforcement learning for accurate fault classification. It is necessary to strengthen the integration and analysis of multi-source data. Taking load forecasting as an example, it is necessary to comprehensively analyze the electricity load in different periods and regions, as well as meteorological data, power grid equipment operating parameters, etc. Embracing new quality productivity driven by digital intelligence. With the increasing proportion of new energy such as wind and solar in the energy structure, how to ensure stable access and consumption of intermittent and fluctuating power sources is the key to the transformation of the power grid from a traditional single function power grid to an intelligent and green modern power grid. In the process of promoting the construction of a new power system, only by adhering to the guidance of technology, efficiency, green, and innovation can we help the development of the power grid move towards a more intelligent, efficient, and sustainable future. Adhere to technological leadership and use artificial intelligence as a key lever to build a new type of power system. The new power system involves more distributed power sources, complex grid topology, and diverse user electricity demands. In the field of power dispatching, the application of reinforcement learning technology can assist in arranging power transmission and generation power, reducing network losses, and improving the economic efficiency of power grid operation; In terms of equipment maintenance, machine learning is used to identify abnormal fault states and potential fault patterns, guiding the generation of better preventive maintenance strategies; On the electricity trading side, an intelligent prediction model is constructed through AI technology to assist users in selecting the optimal trading strategy and accelerate the trading process. Artificial intelligence technology has broken through traditional technological boundaries, achieving optimization of production processes, time constraints, cost control, safety and stability, and is a booster for accelerating the upgrading of the power grid industry. Adhere to efficiency leadership and regard artificial intelligence as an important driving force for achieving high-quality development of the power grid. The high-quality development of the power grid is based on meeting the needs of economic development and people's daily electricity consumption, and achieving safe, reliable, green, and sustainable development through technological innovation. The widespread application of artificial intelligence technology will accelerate the transition of power grid production from fixed cycle maintenance relying on manual experience to condition based maintenance. Fully realize the universal coverage of inspection robots and drones, completely replacing the old mode of manual inspection that involves crossing mountains and rivers. Adhere to green leadership and regard artificial intelligence as an important driving force for promoting the green and low-carbon transformation of the power grid. Artificial intelligence has demonstrated strong support for the green and low-carbon transformation of the power grid in multiple key areas such as new energy access, grid operation and scheduling, equipment maintenance, comprehensive energy management, and power market development. It is an indispensable force in promoting the achievement of green and low-carbon goals in the power grid. At the same time, in the current era of the rapid development of high-energy computing industries, innovative computer collaboration is being promoted to facilitate the implementation of the East West computing project, with the "clean watt" of the western region giving birth to "green bits" and serving the high-quality development of the digital economy. Adhere to innovation leadership and regard artificial intelligence as the key driving force for building new quality productivity in the power grid. Artificial intelligence is driving virtual power plants from conceptualization to reality, enabling flexible adjustment of distributed power sources, energy storage systems, and user side loads through AI technology. The integration of artificial intelligence and blockchain technology helps to achieve carbon monitoring and tracking, providing a digital overall solution of "carbon emissions carbon monitoring carbon assets carbon trading", and improving the level and efficiency of enterprise carbon asset management. Artificial intelligence plays an important supporting role in energy management of microgrids. It helps to monitor, predict, and optimize distributed energy, loads, energy storage, and other resources in real-time, thereby improving the energy utilization efficiency within microgrids. In recent years, Southern Power Grid has seized the new opportunities, tasks, and requirements of artificial intelligence and made great efforts in the construction of digital power grids, digital enterprises, digital services, and digital industries. For the first time, it has built a self controllable large power model "Big Watt" in the power industry and continued to promote the implementation of the "Artificial Intelligence+" action. Ensure the safe and stable operation of the power grid. Southern Power Grid actively explores the use of artificial intelligence technology to promote the construction of new power systems and new energy systems, focusing on the "two highs" characteristics, tackling "hard bones" such as multimodal large models, complex modeling and simulation, and transfer learning, and applying large models and reinforcement learning technologies to solve the "impossible triangle" of clean, low-carbon, safe, abundant, and economically efficient new power systems. The first AI system load forecasting platform in China has been put into operation, and the accuracy of system load forecasting has increased from 97.6% to 98.3%; By using reinforcement learning technology to solve large-scale real-time decision-making problems in distributed energy, we have overcome the global challenge of real-time control at the second level... Innovation empowers enterprise management and efficiency improvement. Southern Power Grid insists on integrating intelligent technology into the entire process of enterprise management, using data-driven business process reengineering and organizational structure optimization to promote efficient collaboration across levels, systems, departments, and businesses. The application of "intelligent writing" based on the Great Watt model has significantly improved office efficiency, and the integration of natural language processing technology for identifying, classifying, and analyzing legal risks of key contract terms has improved contract review efficiency. Process automation has increased financial work efficiency by over 80%. Promote the upgrading of service models. Southern Power Grid has focused on investing in intelligent customer service and the online construction of Southern Power Grid. It has developed a "five in one" customer service model application, providing customers with more personalized and intelligent products and services, achieving common growth with users, and truly benefiting thousands of households with artificial intelligence technology. Promote the development of emerging industries. Southern Power Grid supports the green energy supply system with "electricity+computing power", drives the coordinated optimization and scheduling of large-scale renewable energy, and achieves the basic full consumption of clean energy in the network domain. The company's non fossil energy electricity has accounted for more than 50% for three consecutive years. In addition, the company actively promotes the application of artificial intelligence technology in emerging industries such as virtual power plants, electricity spot trading, microgrid energy management, carbon monitoring and tracking, and charging pile planning. (Author: Liu Yuquan, leading expert in digital power grid, person in charge of the "13th Five Year Plan" and "14th Five Year Plan" national key research and development programs, and vice chairman of the Digital Power Grid Standardization Working Group/Intelligent Sensor Standardization Committee of the China Electricity Council) (New Press)