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ORCIDGuangchun Ruan
Person information
- affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA
- affiliation: Tsinghua University, Department of Electrical Engineering, State Key Lab of Power Systems, Beijing, China
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2020 – today
- 2025
[j6]Wenlong Liao
, Junbo Zhao, Guangchun Ruan, Mingyu Huang, Zhe Yang, Christian Rehtanz:
A Model-Agnostic Framework for Interpretable Electricity Theft Detection. IEEE Internet Things J. 12(22): 48200-48213 (2025)- [j5]Grant Ruan, Munther A. Dahleh:
Temperature-Controlled Smart Charging for Electric Vehicles in Cold Climates. IEEE Trans. Smart Grid 16(3): 2197-2207 (2025) - [c7]Chenglin Li, Guangchun Ruan, Hua Geng:
Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning. AAAI 2025: 18236-18243 - [i22]Grant Ruan, Munther A. Dahleh:
Temperature-Controlled Smart Charging for Electric Vehicles in Cold Climates. CoRR abs/2501.01105 (2025) - [i21]Yutong He, Guangchun Ruan, Haiwang Zhong:
Performance-Aware Control of Modular Batteries For Fast Frequency Response. CoRR abs/2504.03150 (2025) - [i20]Xiang Zhu, Guangchun Ruan, Hua Geng:
Optimal Frequency Support from Virtual Power Plants: Minimal Reserve and Allocation. CoRR abs/2504.07703 (2025) - [i19]Haoran Li, Muhao Guo, Yang Weng, Marija Ilic, Guangchun Ruan:
ExARNN: An Environment-Driven Adaptive RNN for Learning Non-Stationary Power Dynamics. CoRR abs/2505.17488 (2025) - [i18]Haoran Li, Muhao Guo, Marija Ilic, Yang Weng, Guangchun Ruan:
External Data-Enhanced Meta-Representation for Adaptive Probabilistic Load Forecasting. CoRR abs/2506.23201 (2025) - 2024
- [j4]Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Xiaofang Xia, Guangchun Ruan, Zhe Yang:
Reducing Annotation Efforts in Electricity Theft Detection Through Optimal Sample Selection. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j3]Wenlong Liao, Ruijin Zhu, Abdulrahman Takiddin, Muhammad Tariq, Guangchun Ruan, Xueyuan Cui, Zhe Yang:
Transfer Learning-Driven Electricity Theft Detection in Small-Sample Cases. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j2]Xueyuan Cui, Guangchun Ruan, François Vallée, Jean-François Toubeau, Yi Wang:
A Two-Level Coordination Strategy for Distribution Network Balancing. IEEE Trans. Smart Grid 15(1): 529-544 (2024) - [c6]Xiang Zhu, Guangchun Ruan, Hua Geng:
Dynamic Virtual Power Plants with Frequency Regulation Capacity. IAS 2024: 1-6 - [c5]Yiliu He, Haiwang Zhong, Guangchun Ruan, Baorong Zhou, Chao Fu, Yingjun Zhuo:
Frequency-Constrained Coordinated Planning of HVDC and Generation. ISGT EUROPE 2024: 1-5 - [i17]Zekuan Yu, Haiwang Zhong, Guangchun Ruan, Xinfei Yan:
Network-Constrained Unit Commitment with Flexible Temporal Resolution. CoRR abs/2404.05217 (2024) - [i16]Xiang Zhu, Guangchun Ruan, Hua Geng:
Dynamic Virtual Power Plants With Frequency Regulation Capacity. CoRR abs/2406.05976 (2024) - [i15]Xiang Zhu, Guangchun Ruan, Hua Geng, Honghai Liu, Mingfei Bai, Chao Peng:
Multi-Objective Sizing Optimization Method of Microgrid Considering Cost and Carbon Emissions. CoRR abs/2406.06880 (2024) - [i14]Chenglin Li, Guangchun Ruan, Hua Geng:
Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning. CoRR abs/2412.13184 (2024) - 2023
- [c4]Yiran Wang, Haiwang Zhong, Guangchun Ruan:
A Projection-Based Approach for Distributed Energy Resources Aggregation. ISGT EUROPE 2023: 1-5 - [c3]Zhengmao Li, Zhao Shi, Guangchun Ruan, Yuzhang Lin, Jin Zhao:
Resilience-oriented Operation of Power Distribution Networks with Line Hardening and Comprehensive Reconfiguration Measures. SmartGridComm 2023: 1-6 - [i13]Xuyang Li, Guangchun Ruan, Haiwang Zhong:
Low-Carbon Economic Dispatch of Bulk Power Systems Using Nash Bargaining Game. CoRR abs/2301.12956 (2023) - [i12]Xinyue Wang, Haiwang Zhong, Guanglun Zhang, Guangchun Ruan, Yiliu He, Zekuan Yu:
Look-Ahead AC Optimal Power Flow: A Model-Informed Reinforcement Learning Approach. CoRR abs/2303.02306 (2023) - [i11]Yinguo Yang, Yiling Ye, Zhuoxiao Cheng, Guangchun Ruan, Qiuyu Lu, Xuan Wang, Haiwang Zhong:
Life cycle economic viability analysis of battery storage in electricity market. CoRR abs/2305.15079 (2023) - [i10]Yiran Wang, Haiwang Zhong, Guangchun Ruan:
A Projection-Based Approach for Distributed Energy Resources Aggregation. CoRR abs/2308.04007 (2023) - [i9]Wenlong Liao, Fernando Porté-Agel, Jiannong Fang, Birgitte Bak-Jensen, Guangchun Ruan, Zhe Yang:
Explainable Modeling for Wind Power Forecasting: A Glass-Box Approach with Exceptional Accuracy. CoRR abs/2310.18629 (2023) - 2022
- [i8]Zekuan Yu, Guangchun Ruan, Xinyue Wang, Guanglun Zhang, Yiliu He, Haiwang Zhong:
Evaluation of Look-ahead Economic Dispatch Using Reinforcement Learning. CoRR abs/2209.10207 (2022) - [i7]Guangchun Ruan, Jianxiao Wang, Haiwang Zhong, Qing Xia, Chongqing Kang:
Improving Sample Efficiency of Deep Learning Models in Electricity Market. CoRR abs/2210.05599 (2022) - [i6]Shutong Pu, Guangchun Ruan, Xinfei Yan, Haiwang Zhong:
Transmission Congestion Management with Generalized Generation Shift Distribution Factors. CoRR abs/2212.12661 (2022) - 2021
- [j1]Guangchun Ruan, Haiwang Zhong, Baoguo Shan, Xiandong Tan:
Constructing Demand-Side Bidding Curves Based on a Decoupled Full-Cycle Process. IEEE Trans. Smart Grid 12(1): 502-511 (2021) - [i5]Yuyun Yang, Zhenfei Tan, Haitao Yang, Guangchun Ruan, Haiwang Zhong:
Short-Term Electricity Price Forecasting based on Graph Convolution Network and Attention Mechanism. CoRR abs/2107.12794 (2021) - [i4]Guangchun Ruan, Daniel S. Kirschen, Haiwang Zhong, Qing Xia, Chongqing Kang:
Estimating Demand Flexibility Using Siamese LSTM Neural Networks. CoRR abs/2109.01258 (2021) - [i3]Guangchun Ruan, Zekuan Yu, Shutong Pu, Songtao Zhou, Haiwang Zhong, Le Xie, Qing Xia, Chongqing Kang:
Open-Access Data and Toolbox for Tracking COVID-19 Impact on Power Systems. CoRR abs/2112.05320 (2021) - 2020
- [c2]Guangchun Ruan, Haiwang Zhong, Qing Xia, Chongqing Kang, Qiang Wang, Xin Cao:
Integrating Heterogeneous Demand Response into N-1 Security Assessment by Multi-Parametric Programming. ISGT 2020: 1-5 - [c1]Guangchun Ruan, Haiwang Zhong, Qing Xia, Chongqing Kang:
On Assessment of the Scenario Clustering in Stochastic Bidding: A Full-Cycle Perspective. ISGT-Europe 2020: 1055-1059 - [i2]Guangchun Ruan, Dongqi Wu, Xiangtian Zheng, Sivaranjani S., Haiwang Zhong, Munther A. Dahleh, Le Xie, Chongqing Kang:
A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector. CoRR abs/2005.06631 (2020) - [i1]Guangchun Ruan, Haiwang Zhong, Guanglun Zhang, Yiliu He, Xuan Wang, Tianjiao Pu:
Review of Learning-Assisted Power System Optimization. CoRR abs/2007.00210 (2020)
Coauthor Index
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