Research on Intelligent Dispatching System of Mobile Energy Storage Equipment Based on Semantic Analysis

This paper proposes an intelligent dispatching algorithm based on semantic analysis, which aims to optimize the dispatching decision of mobile energy storage equipment. By introducing semantic analysis technology, the algorithm can deeply understand user needs and their environmental changes, automatically extract key data from natural language descriptions, and adjust the dispatching strategy in real time. Compared with traditional dispatching algorithms, the algorithm proposed in this paper can more accurately optimize task priorities, charging and discharging strategies, and energy allocation based on real-time input information. Experimental results show that the proposed dispatching algorithm has significant advantages in multiple experimental scenarios, especially when the load fluctuates greatly and user demand changes rapidly, the dispatching efficiency is improved by14.8% and the response time is shortened by 18.5%. In addition, the robustness of the algorithm in different user demand scenarios has also been verified, and it can effectively adapt to dynamically changing system loads and equipment states. Through these experimental results, this paper verifies the feasibility of semantic analysis technology in intelligent dispatching of energy storage equipment, and provides new ideas and methods for the intelligence and precision of future dispatching systems.