Value Creation and Management Improvement of AI in the Power Industry

In the 21st century, with the widespread application of technologies such as sensor measurement, computer communication, power electronics, and the Internet, developed countries in Europe and America have taken the lead in discussing and attempting the safety, reliability, flexibility, and quality of power supply. Relevant research and practice have been launched around the interaction with users, the development and management of clean energy and distributed power, and innovation in power supply technology. Intelligent management of power networks has become a development trend in the world power grid. This article deeply explored the value creation and management improvement of AI (artificial intelligence) in the power industry, and analyzed the value and management improvement of AI in the power industry from the perspectives of power load forecasting, power user data management, energy market pricing, and customized customer service in the power system. The article focused on the monitoring and optimization analysis of secondary equipment in the power system using neural networks, and verified the feasibility of the algorithm through experiments (the algorithm had a fault prediction accuracy of over 90% for secondary equipment in 1 to 200 iterations).