The 糖果派对 Centre for Energy Informatics at the University of Southern Denmark is establishing the Agentic AI and LLM Evaluation Lab – a research initiative exploring how cutting-edge large language models (LLMs) can act as autonomous agents in the energy sector. This lab will evaluate and harness the potential of LLM-driven Agentic AI solutions to enhance the research performance across all the center’s application domains. These domains include Smart Buildings, Smart Cities and Communities, Smart Industries, Smart Energy Networks, Smart Energy Ecosystems, Smart Energy Digital Infrastructure.
Core Goals and Applications
- Intelligent Decision-Making: Develop LLM-powered agents that autonomously analyze energy data and assist in complex operational decisions (e.g., real-time grid management and resource allocation).
- Demand-Side Flexibility: Use agentic AI to maximize demand-side flexibility by dynamically adjusting energy consumption to match supply conditions – a crucial capability for integrating intermittent renewable sources and maintaining grid stability.
- User-Centric Solutions: Leverage LLMs for natural language interfaces that understand user preferences and translate them into optimized energy management actions, making advanced energy services accessible to non-experts.
- Cross-Domain Automation: Enable AI agents to operate across traditionally siloed domains (from smart buildings to smart grids) and coordinate holistic energy optimization for improved efficiency and resilience.
To achieve these goals, the lab employs state-of-the-art LLM frameworks and evaluation techniques. It prototypes and rigorously tests LLM-driven agents in realistic scenarios to advance the scientific understanding of agentic AI’s effectiveness. Ultimately, the lab aims to demonstrate innovative solutions that support the energy sector’s digital transformation.