Guangchun Ruan

According to our database, Guangchun Ruan authored at least 19 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Two-Level Coordination Strategy for Distribution Network Balancing.

Xueyuan Cui, Guangchun Ruan, François Vallée, Jean-François Toubeau, Yi Wang

IEEE Trans. Smart Grid, January, 2024

Reducing Annotation Efforts in Electricity Theft Detection Through Optimal Sample Selection.

Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Xiaofang Xia, Guangchun Ruan, Zhe Yang

IEEE Trans. Instrum. Meas., 2024

2023

Explainable Modeling for Wind Power Forecasting: A Glass-Box Approach with Exceptional Accuracy.

Wenlong Liao, Fernando Porté-Agel, Jiannong Fang, Birgitte Bak-Jensen, Guangchun Ruan, Zhe Yang

CoRR, 2023

Life cycle economic viability analysis of battery storage in electricity market.

Yinguo Yang, Yiling Ye, Zhuoxiao Cheng, Guangchun Ruan, Qiuyu Lu, Xuan Wang, Haiwang Zhong

CoRR, 2023

Look-Ahead AC Optimal Power Flow: A Model-Informed Reinforcement Learning Approach.

Xinyue Wang, Haiwang Zhong, Guanglun Zhang, Guangchun Ruan, Yiliu He, Zekuan Yu

CoRR, 2023

Low-Carbon Economic Dispatch of Bulk Power Systems Using Nash Bargaining Game.

Xuyang Li, Guangchun Ruan, Haiwang Zhong

CoRR, 2023

Resilience-oriented Operation of Power Distribution Networks with Line Hardening and Comprehensive Reconfiguration Measures.

Zhengmao Li, Zhao Shi, Guangchun Ruan, Yuzhang Lin, Jin Zhao

Proceedings of the IEEE International Conference on Communications, 2023

A Projection-Based Approach for Distributed Energy Resources Aggregation.

Yiran Wang, Haiwang Zhong, Guangchun Ruan

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

2022

Transmission Congestion Management with Generalized Generation Shift Distribution Factors.

Shutong Pu, Guangchun Ruan, Xinfei Yan, Haiwang Zhong

CoRR, 2022

Improving Sample Efficiency of Deep Learning Models in Electricity Market.

Guangchun Ruan, Jianxiao Wang, Haiwang Zhong, Qing Xia, Chongqing Kang

CoRR, 2022

Evaluation of Look-ahead Economic Dispatch Using Reinforcement Learning.

Zekuan Yu, Guangchun Ruan, Xinyue Wang, Guanglun Zhang, Yiliu He, Haiwang Zhong

CoRR, 2022

2021

Constructing Demand-Side Bidding Curves Based on a Decoupled Full-Cycle Process.

Guangchun Ruan, Haiwang Zhong, Baoguo Shan, Xiandong Tan

IEEE Trans. Smart Grid, 2021

Open-Access Data and Toolbox for Tracking COVID-19 Impact on Power Systems.

Guangchun Ruan, Zekuan Yu, Shutong Pu, Songtao Zhou, Haiwang Zhong, Le Xie, Qing Xia, Chongqing Kang

CoRR, 2021

Estimating Demand Flexibility Using Siamese LSTM Neural Networks.

Guangchun Ruan, Daniel S. Kirschen, Haiwang Zhong, Qing Xia, Chongqing Kang

CoRR, 2021

Short-Term Electricity Price Forecasting based on Graph Convolution Network and Attention Mechanism.

Yuyun Yang, Zhenfei Tan, Haitao Yang, Guangchun Ruan, Haiwang Zhong

CoRR, 2021

2020

Review of Learning-Assisted Power System Optimization.

Guangchun Ruan, Haiwang Zhong, Guanglun Zhang, Yiliu He, Xuan Wang, Tianjiao Pu

CoRR, 2020

A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector.

Guangchun Ruan, Dongqi Wu, Xiangtian Zheng, Sivaranjani S., Haiwang Zhong, Munther A. Dahleh, Le Xie, Chongqing Kang

CoRR, 2020

On Assessment of the Scenario Clustering in Stochastic Bidding: A Full-Cycle Perspective.

Guangchun Ruan, Haiwang Zhong, Qing Xia, Chongqing Kang

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

Integrating Heterogeneous Demand Response into N-1 Security Assessment by Multi-Parametric Programming.

Guangchun Ruan, Haiwang Zhong, Qing Xia, Chongqing Kang, Qiang Wang, Xin Cao

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020