Research on the Intelligent Park Energy Control Platform Based on LLM

The Intelligent Park Energy Control Platform (IPECP) leverages Large Language Models (LLM) to advance smart park energy management, aligning with China's carbon peaking and neutrality goals. By integrating LLMs, digital twin technology, and hierarchical scheduling optimization, the IPECP processes complex, unstructured data to uncover energy usage patterns and market trends. This enables accurate predictions and optimized energy dispatch strategies, enhancing real-time monitoring and control. The platform's architecture includes a data layer for collection and processing, an intelligent analytic layer for deep insights, and a user interaction layer for personalized advice and support. Application results show a 15% to 20% reduction in monthly energy consumption and over 50% reduction in operational carbon emissions, achieving zero emissions with carbon sinks. The IPECP also improves energy management efficiency through automated operations and maintenance. Future work will expand the platform's capabilities to include more renewable energy sources and develop advanced business models to promote wider adoption and support global climate efforts.