Survey on large language model-enhanced reinforcement learning: Concept, taxonomy, and methods

Y Cao, H Zhao, Y Cheng, T Shu, Y Chen… - … on Neural Networks …, 2024 - ieeexplore.ieee.org
With extensive pretrained knowledge and high-level general capabilities, large language
models (LLMs) emerge as a promising avenue to augment reinforcement learning (RL) in …

Application and prospects of large AI models in virtual power plants

D Wang, D Peng, D Huang - Electric Power Systems Research, 2025 - Elsevier
With the rapid advancement of artificial intelligence (AI) technology, particularly the
successful application of large models across various fields, the energy industry is …

GAIA--A Large Language Model for Advanced Power Dispatch

Y Cheng, H Zhao, X Zhou, J Zhao, Y Cao… - arxiv preprint arxiv …, 2024 - arxiv.org
Power dispatch is essential for providing stable, cost-effective, and eco-friendly electricity to
society. However, traditional methods falter as power systems grow in scale and complexity …

[HTML][HTML] Domain-Specific Large Language Model for Renewable Energy and Hydrogen Deployment Strategies

HA Gabber, OS Hemied - Energies, 2024 - mdpi.com
Recent advances in large language models (LLMs) have shown promise in specialized
fields, yet their effectiveness is often constrained by limited domain expertise. We present a …

Enhancing LLMs for Power System Simulations: A Feedback-driven Multi-agent Framework

M Jia, Z Cui, G Hug - arxiv preprint arxiv:2411.16707, 2024 - arxiv.org
The integration of experimental technologies with large language models (LLMs) is
transforming scientific research, positioning AI as a versatile research assistant rather than a …