AI and New Energy Integration: Ushering in a New Era of Energy Revolution
AI and New Energy Integration: Ushering in a New Era of Energy Revolution
August 12, 2025
Against the backdrop of the global energy transition, the new energy industry is booming, and artificial intelligence (AI) is profoundly transforming various sectors. The integration of AI and new energy is bringing unprecedented opportunities to the energy field.
AI Enhances New Energy Generation Efficiency
New energy generation, such as wind and solar power, is intermittent and volatile. AI offers effective solutions by accurately predicting power output through in-depth analysis of massive meteorological, historical generation, and equipment operation data. For instance, the "Kuangming" new energy model developed by Guoneng Rixin excels in forecasting extreme weather events, aiding power dispatchers in planning and improving stability.
In equipment management, AI plays a vital role. Take Datang Suola Wind Farm's smart site as an example; its intelligent control system adjusts operating parameters based on real-time conditions to maximize efficiency. Cameras with AI recognition algorithms conduct high-precision automated inspections of photovoltaic modules and wind turbine blades, promptly identifying potential faults, reducing costs and risks.
AI Optimizes Energy System Scheduling and Management
Efficient energy system scheduling is crucial. AI is reshaping this with its data analysis and decision-making capabilities. At China Southern Power Grid's Yunnan Dali Power Supply Bureau's "source-grid-load-storage-charging" intelligent control platform, AI assists dispatchers in real-time monitoring and decision-making, ensuring stable grid operation even in areas where new energy accounts for over 60% of annual electricity.
AI is also driving emerging energy scheduling models like virtual power plants. Shenzhen's Virtual Power Plant Control and Management Cloud Platform 3.0, showcased at the 2024 International Digital Energy Exhibition, integrates 55,000 adjustable load resources. It optimizes power allocation through AI algorithms, enhancing efficiency and grid stability.
AI Drives Innovation in New Energy Materials R&D
Traditional new energy materials R&D is time-consuming and costly. AI brings new opportunities by analyzing data to quickly screen potential material combinations. For example, DeepMind's AI model predicts new superconducting material structures, accelerating research.
In battery materials, AI is prominent. It analyzes relationships between material properties and structures to improve performance. Research teams have developed additives to enhance the interface stability of high-nickel ternary materials, boosting battery safety and lifespan. AI also aids in optimizing solid electrolytes for better conductivity and compatibility.
AI Empowers New Energy Industry Management Upgrade
AI is permeating all aspects of new energy enterprise management. In manufacturing, BYD uses AI visual inspection to monitor battery production, detecting defects and improving quality and efficiency while reducing costs.
In operations, Goldwind Science & Technology applies AI in unmanned power stations, material allocation, and translation. Its industry-specific translation model supports international development, and AI analyzes equipment data to build fault prediction models, optimizing maintenance strategies, reducing losses, and lowering operational costs.
Challenges and Prospects of Integrated Development
Despite great potential, challenges exist. AI performance is uncertain, data silos hinder sharing, and there are risks like privacy leaks and insufficient computing power. Also, AI's own energy consumption is a concern.
To address these, we need data standardization and sharing, improved laws for regulation, increased R&D investment to optimize algorithms, and exploration of renewable energy to power AI infrastructure.
Looking ahead, AI and new energy integration will deepen, with AI playing a core role across the entire industry chain, driving intelligent, efficient, and green development. It will boost energy production efficiency, provide personalized energy management for consumers, and spawn new business models, ushering in a new era of global energy revolution and sustainable development.