In May 2026, China’s National Development and Reform Commission (NDRC), together with the National Energy Administration (NEA), the Ministry of Industry and Information Technology (MIIT), and the National Data Administration (NDA), jointly released the Action Plan for Promoting the Mutual Empowerment of Artificial Intelligence and Energy. The policy marks the beginning of a new phase of deep, systematic integration between AI and the energy industry. As a leading pillar of clean energy, the wind power sector has already emerged at the forefront of this intelligent transformation.
Intelligent Transformation in Wind Energy: AI Reshaping the Industry
With policy direction becoming increasingly clear, industrial development is accelerating accordingly. Artificial intelligence is now being deeply integrated into the core operational processes of wind energy production.
Looking back at the exhibition floor of CWP2025, many companies showcased significant achievements combining AI and wind energy technologies:
- Envision launched the world’s first Galileo AI-integrated wind-storage system, deeply combining wind turbines, energy storage, and large AI models to pioneer “Physical AI” applications in renewable energy.
- Yueneng Technology and Huawei jointly introduced an AI-powered smart renewable energy site solution. Built around the dual engines of predictive maintenance and AI, the system reconstructs inspection and maintenance models through foundational technological innovation, enabling a transition from “passive repair” to “proactive prevention.”
- Saturn Technology introduced the “Wind Blade Guardian” intelligent monitoring system. Leveraging AI acoustic technology, the system continuously “listens” to turbine blades 24/7 and can accurately identify internal damage risks that are difficult to detect using traditional inspection methods.
- Windey released an AI agent for wind power operations and maintenance. By activating dormant documents, engineering drawings, and technical standards scattered across multiple systems, the platform builds a genuine “knowledge brain” for wind energy, driving the industry from experience-based operations toward precision-driven management.
Beyond these commercialized applications focused on O&M and equipment monitoring, the integration of AI and wind power is also expanding deeper into upstream areas of the industry chain.In April this year, Goldwind and Hong Kong University of Science and Technology officially entered into a strategic partnership to advance the integration of “AI Meteorology + Renewable Energy.” The collaboration aims to tackle cutting-edge challenges such as numerical weather prediction, extreme weather forecasting, and AI-powered meteorological foundation models.
In the future, both the complex turbulence of mountainous wind farms and the highly dynamic wind and wave conditions of offshore projects may be incorporated into increasingly precise computational models.
CWP2026 Focuses on AI and the Low-Altitude Economy
The China Wind Power 2026 exhibition has long served as a core platform connecting cutting-edge technologies with the broader industrial ecosystem.From October 14–16, CWP2026 will be held at the China International Exhibition Center (Shunyi Hall). This year’s exhibition will continue to spotlight: “AI + Wind Energy” and “Low-Altitude Economy + Wind Energy”. The event will showcase a new generation of practical, commercially deployable products and solutions.
Whether you are an AI technology provider with advanced algorithms and digital capabilities or a company deeply engaged across the wind power value chain, CWP2026 offers an important platform to connect with global resources, engage with real industry demand, and position your business for the next wave of growth.
The momentum created by policy support and technological innovation is already converging. The integration of AI and wind energy is entering a golden window of opportunity. Reserve your booth at CWP2026 today and showcase the innovative power of AI and wind energy on one of the world’s premier wind industry stages.
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