Liangxin Tech Unveils AI Energy Model for Smarter Power Trading
Liangxin Technology Revolutionizes Power Trading with AI Energy Model
At the Third Chain Expo, Liangxin Technology Group unveiled its groundbreaking "Jiu Gong AI Energy Large Model", marking a significant leap forward in intelligent power trading solutions. The model integrates two cutting-edge technologies that promise to transform energy market operations.
Precision Forecasting for Electricity Markets
The time-series forecasting engine forms the backbone of this innovation, trained on billions of data points. Most impressively, it achieves over 90% accuracy in predicting electricity prices across several provincial spot markets. This capability remains robust even in data-scarce environments, allowing rapid adaptation to market fluctuations.
Real-Time Trading Intelligence
Complementing the forecasting system is Liangxin's AI agent engine, which delivers:
- Dynamic data fusion across multiple streams
- Sub-second response times to market changes
- 24/7 automated monitoring of trading conditions
The system doesn't just track rule changes—it generates automated hedging strategies, significantly enhancing trading efficiency and flexibility for energy companies.
Current Deployments and Future Outlook
The model already operates in key Chinese power markets including:
- Guangdong
- Shandong
- Zhejiang
Industry analysts predict this technology will accelerate the intelligent transformation of energy trading globally. Liangxin's innovation provides both:
- Enhanced decision-making tools for traders
- Scientific frameworks for energy management systems
Key Points:
- 90%+ accuracy in electricity price forecasting
- Combines time-series analysis with AI agent technology
- Enables real-time strategy generation for power trading
- Currently deployed in three major Chinese provinces
- Represents a major step toward fully automated energy markets
The Jiu Gong model positions Liangxin as a leader in AI-driven energy solutions, offering both immediate practical benefits and long-term strategic advantages for the evolving power sector.