Guangchun Ruan

35 papers A* 1C 1Journal 28Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Safe Reinforcement Learning with Preference-based Constraint Inference. CoRR Chenglin Li, Guangchun Ruan, Hua Geng
2025	J	`jnl`	A Graph Neural Network with Auxiliary Task Learning for Missing PMU Data Reconstruction. CoRR Bo Li, Zijun Chen, Haiwang Zhong, Di Cao, Guangchun Ruan
2025	J	`jnl`	A Model-Agnostic Framework for Interpretable Electricity Theft Detection. IEEE Internet Things J. Wenlong Liao, Junbo Zhao, Guangchun Ruan, Mingyu Huang, Zhe Yang, Christian Rehtanz
2025	J	`jnl`	ExARNN: An Environment-Driven Adaptive RNN for Learning Non-Stationary Power Dynamics. CoRR Haoran Li, Muhao Guo, Yang Weng, Marija Ilic, Guangchun Ruan
2025	J	`jnl`	External Data-Enhanced Meta-Representation for Adaptive Probabilistic Load Forecasting. CoRR Haoran Li, Muhao Guo, Marija Ilic, Yang Weng, Guangchun Ruan
2025	J	`jnl`	Optimal Frequency Support from Virtual Power Plants: Minimal Reserve and Allocation. CoRR Xiang Zhu, Guangchun Ruan, Hua Geng
2025	J	`jnl`	Performance-Aware Control of Modular Batteries For Fast Frequency Response. CoRR Yutong He, Guangchun Ruan, Haiwang Zhong
2025	A*	`conf`	Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning. AAAI Chenglin Li, Guangchun Ruan, Hua Geng
2024	J	`jnl`	A Two-Level Coordination Strategy for Distribution Network Balancing. IEEE Trans. Smart Grid Xueyuan Cui, Guangchun Ruan, François Vallée, Jean-François Toubeau, Yi Wang
2024	J	`jnl`	Dynamic Virtual Power Plants With Frequency Regulation Capacity. CoRR Xiang Zhu, Guangchun Ruan, Hua Geng
2024	C	`conf`	Dynamic Virtual Power Plants with Frequency Regulation Capacity. IAS Xiang Zhu, Guangchun Ruan, Hua Geng
2024	—	`conf`	Frequency-Constrained Coordinated Planning of HVDC and Generation. ISGT EUROPE Yiliu He, Haiwang Zhong, Guangchun Ruan, Baorong Zhou, Chao Fu, Yingjun Zhuo
2024	J	`jnl`	Multi-Objective Sizing Optimization Method of Microgrid Considering Cost and Carbon Emissions. CoRR Xiang Zhu, Guangchun Ruan, Hua Geng, Honghai Liu, Mingfei Bai, Chao Peng
2024	J	`jnl`	Network-Constrained Unit Commitment with Flexible Temporal Resolution. CoRR Zekuan Yu, Haiwang Zhong, Guangchun Ruan, Xinfei Yan
2024	J	`jnl`	Reducing Annotation Efforts in Electricity Theft Detection Through Optimal Sample Selection. IEEE Trans. Instrum. Meas. Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Xiaofang Xia, Guangchun Ruan, Zhe Yang
2024	J	`jnl`	Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning. CoRR Chenglin Li, Guangchun Ruan, Hua Geng
2024	J	`jnl`	Transfer Learning-Driven Electricity Theft Detection in Small-Sample Cases. IEEE Trans. Instrum. Meas. Wenlong Liao, Ruijin Zhu, Abdulrahman Takiddin, Muhammad Tariq, Guangchun Ruan, Xueyuan Cui, Zhe Yang
2023	—	`conf`	A Projection-Based Approach for Distributed Energy Resources Aggregation. ISGT EUROPE Yiran Wang, Haiwang Zhong, Guangchun Ruan
2023	J	`jnl`	A Projection-Based Approach for Distributed Energy Resources Aggregation. CoRR Yiran Wang, Haiwang Zhong, Guangchun Ruan
2023	J	`jnl`	Explainable Modeling for Wind Power Forecasting: A Glass-Box Approach with Exceptional Accuracy. CoRR Wenlong Liao, Fernando Porté-Agel, Jiannong Fang, Birgitte Bak-Jensen, Guangchun Ruan, Zhe Yang
2023	J	`jnl`	Life cycle economic viability analysis of battery storage in electricity market. CoRR Yinguo Yang, Yiling Ye, Zhuoxiao Cheng, Guangchun Ruan, Qiuyu Lu, Xuan Wang, Haiwang Zhong
2023	J	`jnl`	Look-Ahead AC Optimal Power Flow: A Model-Informed Reinforcement Learning Approach. CoRR Xinyue Wang, Haiwang Zhong, Guanglun Zhang, Guangchun Ruan, Yiliu He, Zekuan Yu
2023	J	`jnl`	Low-Carbon Economic Dispatch of Bulk Power Systems Using Nash Bargaining Game. CoRR Xuyang Li, Guangchun Ruan, Haiwang Zhong
2023	—	`conf`	Resilience-oriented Operation of Power Distribution Networks with Line Hardening and Comprehensive Reconfiguration Measures. SmartGridComm Zhengmao Li, Zhao Shi, Guangchun Ruan, Yuzhang Lin, Jin Zhao
2022	J	`jnl`	Evaluation of Look-ahead Economic Dispatch Using Reinforcement Learning. CoRR Zekuan Yu, Guangchun Ruan, Xinyue Wang, Guanglun Zhang, Yiliu He, Haiwang Zhong
2022	J	`jnl`	Improving Sample Efficiency of Deep Learning Models in Electricity Market. CoRR Guangchun Ruan, Jianxiao Wang, Haiwang Zhong, Qing Xia, Chongqing Kang
2022	J	`jnl`	Transmission Congestion Management with Generalized Generation Shift Distribution Factors. CoRR Shutong Pu, Guangchun Ruan, Xinfei Yan, Haiwang Zhong
2021	J	`jnl`	Constructing Demand-Side Bidding Curves Based on a Decoupled Full-Cycle Process. IEEE Trans. Smart Grid Guangchun Ruan, Haiwang Zhong, Baoguo Shan, Xiandong Tan
2021	J	`jnl`	Estimating Demand Flexibility Using Siamese LSTM Neural Networks. CoRR Guangchun Ruan, Daniel S. Kirschen, Haiwang Zhong, Qing Xia, Chongqing Kang
2021	J	`jnl`	Open-Access Data and Toolbox for Tracking COVID-19 Impact on Power Systems. CoRR Guangchun Ruan, Zekuan Yu, Shutong Pu, Songtao Zhou, Haiwang Zhong, Le Xie, Qing Xia, Chongqing Kang
2021	J	`jnl`	Short-Term Electricity Price Forecasting based on Graph Convolution Network and Attention Mechanism. CoRR Yuyun Yang, Zhenfei Tan, Haitao Yang, Guangchun Ruan, Haiwang Zhong
2020	J	`jnl`	A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector. CoRR Guangchun Ruan, Dongqi Wu, Xiangtian Zheng, Sivaranjani S., Haiwang Zhong, Munther A. Dahleh, Le Xie, Chongqing Kang
2020	—	`conf`	Integrating Heterogeneous Demand Response into N-1 Security Assessment by Multi-Parametric Programming. ISGT Guangchun Ruan, Haiwang Zhong, Qing Xia, Chongqing Kang, Qiang Wang, Xin Cao
2020	—	`conf`	On Assessment of the Scenario Clustering in Stochastic Bidding: A Full-Cycle Perspective. ISGT-Europe Guangchun Ruan, Haiwang Zhong, Qing Xia, Chongqing Kang
2020	J	`jnl`	Review of Learning-Assisted Power System Optimization. CoRR Guangchun Ruan, Haiwang Zhong, Guanglun Zhang, Yiliu He, Xuan Wang, Tianjiao Pu