Integrating Heterogeneous Demand Response into N-1 Security Assessment by Multi-Parametric Programming. - Guangchun Ruan; Haiwang Zhong; Qing Xia 001; Chongqing Kang; Qiang Wang; Xin Cao (ISGT, 2020)

On Assessment of the Scenario Clustering in Stochastic Bidding: A Full-Cycle Perspective. - Guangchun Ruan; Haiwang Zhong; Qing Xia 001; Chongqing Kang (ISGT-Europe, 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 002; Sivaranjani S.; Haiwang Zhong; Munther A. Dahleh; Le Xie 001; Chongqing Kang (CoRR, 2020)

Review of Learning-Assisted Power System Optimization. - Guangchun Ruan; Haiwang Zhong; Guanglun Zhang; Yiliu He; Xuan Wang; Tianjiao Pu (CoRR, 2020)

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)

Estimating Demand Flexibility Using Siamese LSTM Neural Networks. - Guangchun Ruan; Daniel S. Kirschen; Haiwang Zhong; Qing Xia 001; Chongqing Kang (CoRR, 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 001; Qing Xia 001; Chongqing Kang (CoRR, 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)

Evaluation of Look-ahead Economic Dispatch Using Reinforcement Learning. - Zekuan Yu; Guangchun Ruan; Xinyue Wang; Guanglun Zhang; Yiliu He; Haiwang Zhong (CoRR, 2022)

Improving Sample Efficiency of Deep Learning Models in Electricity Market. - Guangchun Ruan; Jianxiao Wang; Haiwang Zhong; Qing Xia 001; Chongqing Kang (CoRR, 2022)

Transmission Congestion Management with Generalized Generation Shift Distribution Factors. - Shutong Pu; Guangchun Ruan; Xinfei Yan; Haiwang Zhong (CoRR, 2022)

A Projection-Based Approach for Distributed Energy Resources Aggregation. - Yiran Wang; Haiwang Zhong; Guangchun Ruan (ISGT EUROPE, 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 (SmartGridComm, 2023)

Low-Carbon Economic Dispatch of Bulk Power Systems Using Nash Bargaining Game. - Xuyang Li; Guangchun Ruan; 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)

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)

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 007 (CoRR, 2023)

Dynamic Virtual Power Plants with Frequency Regulation Capacity. - Xiang Zhu; Guangchun Ruan; Hua Geng (IAS, 2024)

Frequency-Constrained Coordinated Planning of HVDC and Generation. - Yiliu He; Haiwang Zhong; Guangchun Ruan; Baorong Zhou; Chao Fu; Yingjun Zhuo (ISGT EUROPE, 2024)

Network-Constrained Unit Commitment with Flexible Temporal Resolution. - Zekuan Yu; Haiwang Zhong; Guangchun Ruan; Xinfei Yan (CoRR, 2024)

Multi-Objective Sizing Optimization Method of Microgrid Considering Cost and Carbon Emissions. - Xiang Zhu; Guangchun Ruan; Hua Geng; Honghai Liu 006; Mingfei Bai; Chao Peng (CoRR, 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 007 (IEEE Trans. Instrum. Meas., 2024)

Transfer Learning-Driven Electricity Theft Detection in Small-Sample Cases. - Wenlong Liao; Ruijin Zhu; Abdulrahman Takiddin; Muhammad Tariq; Guangchun Ruan; Xueyuan Cui; Zhe Yang 007 (IEEE Trans. Instrum. Meas., 2024)

A Two-Level Coordination Strategy for Distribution Network Balancing. - Xueyuan Cui; Guangchun Ruan; François Vallée; Jean-François Toubeau; Yi Wang 022 (IEEE Trans. Smart Grid, 2024)

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning. - Chenglin Li; Guangchun Ruan; Hua Geng (AAAI, 2025)

Performance-Aware Control of Modular Batteries For Fast Frequency Response. - Yutong He; Guangchun Ruan; Haiwang Zhong (CoRR, 2025)

Optimal Frequency Support from Virtual Power Plants: Minimal Reserve and Allocation. - Xiang Zhu; Guangchun Ruan; Hua Geng (CoRR, 2025)

ExARNN: An Environment-Driven Adaptive RNN for Learning Non-Stationary Power Dynamics. - Haoran Li; Muhao Guo; Yang Weng; Marija Ilic; Guangchun Ruan (CoRR, 2025)

External Data-Enhanced Meta-Representation for Adaptive Probabilistic Load Forecasting. - Haoran Li; Muhao Guo; Marija Ilic; Yang Weng; Guangchun Ruan (CoRR, 2025)