Relying on its self-developed large model group, Zhonglv Xunke focuses on launching an AI power trading assistant - covering the entire chain of "prediction analysis review decision", supporting daily/intra day/mid to long term power and electricity forecasting, automatically collecting market data and intelligent Q&A analysis, AI driven review optimization, effectively reducing assessment risks, improving trading returns, and promoting the transition of trading mode from "manual assistance" to "intelligent collaboration".

Synchronize the construction of three intelligent platforms for collaborative empowerment: AI data insights enable natural language queries, automatic attribution, and instant response; The multimodal inspection platform integrates front-end small models and back-end large models to accurately identify anomalies; AI operation and inspection super assistant, creating a closed-loop system of warning diagnosis disposal review, achieving predictive maintenance and intelligent scheduling. All four support natural language interaction, bridging the entire process from data to decision-making.

Fully empower the entire chain of new energy asset operation. AI enables accurate prediction of electricity prices, significantly reducing the cost of deviation assessment and transaction risks; Report generation has been shortened by 70%, data retrieval has reached the level of seconds, significantly freeing up manpower and improving regional operation and inspection collaboration efficiency; Intelligent monitoring blocks 5% of hidden power generation losses, improves abnormal analysis efficiency by 85%, and reduces the recurrence rate of similar faults by 30%. Relying on second level natural language interaction, breaking down technological barriers, and helping enterprises move from experience dependence to data-driven refined operations.Editor/Cheng Liting