# Applying Large Language Models to Power Systems: Potential Security Threats

arXiv: https://arxiv.org/abs/2311.13361 · HTML: https://mlsanity.com/paper/2311.13361/

## Key facts

- Cited by 8 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 16 references that are in the map.
- First posted on arXiv 22 Nov 2023.

## Builds on (most cited first, 2 of 2)

- [Extracting Training Data from Large Language Models](https://mlsanity.com/paper/2012.07805/) (2020)
- [AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts](https://mlsanity.com/paper/2110.01691/) (2021)

## Built on by (most cited first, 8 of 8)

- [Enhancing LLMs for Power System Simulations: A Feedback-driven Multi-agent Framework](https://mlsanity.com/paper/2411.16707/) (2024)
- [Large Language Model Powered Automated Modeling and Optimization of Active Distribution Network Dispatch Problems](https://mlsanity.com/paper/2507.21162/) (2025)
- [Applying Fine-Tuned LLMs for Reducing Data Needs in Load Profile Analysis](https://mlsanity.com/paper/2406.02479/) (2024)
- [From Transformers to Large Language Models: A systematic review of AI applications in the energy sector towards Agentic Digital Twins](https://mlsanity.com/paper/2506.06359/) (2025)
- [Fault Diagnosis in Power Grids with Large Language Model](https://mlsanity.com/paper/2407.08836/) (2024)
- [Automated Heuristic Design for Unit Commitment Using Large Language Models](https://mlsanity.com/paper/2506.12495/) (2025)
- [From Accounting to Coordination: A Virtual Water-Aware Electricity-Computation-Water Nexus Framework for Data Center Dispatch](https://mlsanity.com/paper/2605.25854/) (2026)
- [Large Language Model Assisted Operational Monitoring for Battery Energy Storage System Integrated Power Distribution Networks](https://mlsanity.com/paper/2608.15396/) (2026)

## Abstract (arXiv)

Applying large language models (LLMs) to modern power systems presents a promising avenue for enhancing decision-making and operational efficiency. However, this action may also incur potential security threats, which have not been fully recognized so far. To this end, this article analyzes potential threats incurred by applying LLMs to power systems, emphasizing the need for urgent research and development of countermeasures.