Applying Large Language Models to Power Systems: Potential Security Threats
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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.
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.
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2 of 16 references.
References · 2
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Citing papers per year: 2024: 3; 2025: 3; 2026: 2.
8 papers.
- 2024Enhancing LLMs for Power System Simulations: A Feedback-driven Multi-agent Frameworkcited by 17
- 2025Large Language Model Powered Automated Modeling and Optimization of Active Distribution Network Dispatch Problemscited by 7
- 2024Applying Fine-Tuned LLMs for Reducing Data Needs in Load Profile Analysiscited by 2
- 2025From Transformers to Large Language Models: A systematic review of AI applications in the energy sector towards Agentic Digital Twinscited by 2
- 2024Fault Diagnosis in Power Grids with Large Language Modelcited by 1
- 2025Automated Heuristic Design for Unit Commitment Using Large Language Modelscited by 0
- 2026From Accounting to Coordination: A Virtual Water-Aware Electricity-Computation-Water Nexus Framework for Data Center Dispatchcited by 0
- 2026Large Language Model Assisted Operational Monitoring for Battery Energy Storage System Integrated Power Distribution Networkscited by 0
- 2026Large Language Model Assisted Operational Monitoring for Battery Energy Storage System Integrated Power Distribution Networks15 Aug 2026
- 2026From Accounting to Coordination: A Virtual Water-Aware Electricity-Computation-Water Nexus Framework for Data Center Dispatch25 May 2026
- 2025Large Language Model Powered Automated Modeling and Optimization of Active Distribution Network Dispatch Problems25 Jul 2025
- 2025Automated Heuristic Design for Unit Commitment Using Large Language Models14 Jun 2025
- 2025From Transformers to Large Language Models: A systematic review of AI applications in the energy sector towards Agentic Digital Twins3 Jun 2025
- 2024Enhancing LLMs for Power System Simulations: A Feedback-driven Multi-agent Framework21 Nov 2024
- 2024Fault Diagnosis in Power Grids with Large Language Model11 Jul 2024
- 2024Applying Fine-Tuned LLMs for Reducing Data Needs in Load Profile Analysis2 Jun 2024