Applying Large Language Models to Power Systems: Potential Security Threats

no code implementations • 22 Nov 2023 • Jiaqi Ruan, Gaoqi Liang, Huan Zhao, Guolong Liu, Xianzhuo Sun, Jing Qiu, Zhao Xu, Fushuan Wen, Zhao Yang Dong

Applying large language models (LLMs) to modern power systems presents a promising avenue for enhancing decision-making and operational efficiency.

Decision Making

Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance

no code implementations • 18 Oct 2023 • Yang Li, Jiting Cao, Yan Xu, Lipeng Zhu, Zhao Yang Dong

This work proposes a Transformer-based STVSA method to address this challenge.

Clustering Generative Adversarial Network +1

Towards Quantum Federated Learning

no code implementations • 16 Jun 2023 • Chao Ren, Rudai Yan, Huihui Zhu, Han Yu, Minrui Xu, Yuan Shen, Yan Xu, Ming Xiao, Zhao Yang Dong, Mikael Skoglund, Dusit Niyato, Leong Chuan Kwek

This review serves as a first-of-its-kind comprehensive guide for researchers and practitioners interested in understanding and advancing the field of QFL.

Federated Learning