RePower: An LLM-driven autonomous platform for power system data-guided research.

ABSTRACT: Large language models (LLMs) have shown strong capabilities across disciplines such as chemistry, mathematics, and medicine, yet their application in power system research remains limited, and most studies still focus on supporting specific tasks under human supervision. Here, we introduce Revive Power Systems (RePower), an autonomous LLM-driven research platform that uses a reflection-evolution strategy to independently conduct complex research in power systems. RePower assists researchers by controlling devices, acquiring data, designing methods, and evolving algorithms to address problems that are difficult to solve but easy to evaluate. Validated on three critical data-driven tasks in power systems-parameter prediction, power optimization, and state estimation-RePower outperformed trad

SUBMITTER: Liu YX 

PROVIDER: S-EPMC12010440 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature