146 citations · 154 across the 7 of their papers we have counts for
7 papers
Coordinated Power Smoothing Control for Wind Storage Integrated System with Physics-informed Deep Reinforcement Learning
Shuyi Wang, Huan Zhao, Yuji Cao +4
The Wind Storage Integrated System with Power Smoothing Control (PSC) has emerged as a promising solution to ensure both efficient and reliable wind energy generation. However, exi…
ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models
Xiyuan Zhou, Huan Zhao, Yuheng Cheng +6
In response to the urgent demand for grid stability and the complex challenges posed by renewable energy integration and electricity market dynamics, the power sector increasingly…
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
Yuji Cao, Huan Zhao, Yuheng Cheng +7
With extensive pre-trained knowledge and high-level general capabilities, large language models (LLMs) emerge as a promising avenue to augment reinforcement learning (RL) in aspect…
Framework of Resilient Transmission Network Reconfiguration Considering Cyber-Attacks
Chao Yang, Gaoqi Liang, Steven R. Weller +3
Fast and reliable transmission network reconfiguration is critical in improving power grid resilience to cyber-attacks. If the network reconfiguration following cyber-attacks is im…
Adapting to climate change: Long-term impact of wind resource changes on China's power system resilience
Jiaqi Ruan, Xiangrui Meng, Yifan Zhu +10
Modern society's reliance on power systems is at risk from the escalating effects of wind-related climate change. Yet, failure to identify the intricate relationship between wind-r…
Applying Large Language Models to Power Systems: Potential Security Threats
Jiaqi Ruan, Gaoqi Liang, Huan Zhao +6
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 in…
Super-Resolution Perception for Industrial Sensor Data
Jinjin Gu, Haoyu Chen, Guolong Liu +3
In this paper, we present the problem formulation and methodology framework of Super-Resolution Perception (SRP) on industrial sensor data. Industrial intelligence relies on high-q…