Guangchun Ruan

Orcid: 0000-0003-2660-9298

Affiliations:

Massachusetts Institute of Technology, Cambridge, MA, USA
Tsinghua University, Department of Electrical Engineering, State Key Lab of Power Systems, Beijing, China

According to our database¹, Guangchun Ruan authored at least 37 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Safe Reinforcement Learning with Preference-based Constraint Inference.

[BibT_eX]

[DOI]

Chenglin Li

Guangchun Ruan

Hua Geng

CoRR, March, 2026

Emergency-Aware and Frequency-Constrained HVDC Planning for A Multi-Area Asynchronously Interconnected Grid.

[BibT_eX]

[DOI]

CoRR, March, 2026

2025

A Graph Neural Network with Auxiliary Task Learning for Missing PMU Data Reconstruction.

[BibT_eX]

[DOI]

CoRR, December, 2025

An Equality Set Projection Approach for TSO-DSO Coordination Dispatch.

[BibT_eX]

[DOI]

CoRR, November, 2025

Spatially Dependent Sampling of Component Failures for Power System Preventive Control Against Hurricane.

[BibT_eX]

[DOI]

CoRR, November, 2025

Data Center Control Against Sub-Synchronous Resonance: A Data-Driven Approach.

[BibT_eX]

[DOI]

Grant Ruan

Marija D. Ilic

Le Xie

CoRR, November, 2025

External Data-Enhanced Meta-Representation for Adaptive Probabilistic Load Forecasting.

[BibT_eX]

[DOI]

CoRR, June, 2025

Temperature-Controlled Smart Charging for Electric Vehicles in Cold Climates.

[BibT_eX]

[DOI]

Grant Ruan

Munther A. Dahleh

IEEE Trans. Smart Grid, May, 2025

ExARNN: An Environment-Driven Adaptive RNN for Learning Non-Stationary Power Dynamics.

[BibT_eX]

[DOI]

CoRR, May, 2025

Optimal Frequency Support from Virtual Power Plants: Minimal Reserve and Allocation.

[BibT_eX]

[DOI]

Xiang Zhu

Guangchun Ruan

Hua Geng

CoRR, April, 2025

Performance-Aware Control of Modular Batteries For Fast Frequency Response.

[BibT_eX]

[DOI]

Yutong He

Guangchun Ruan

Haiwang Zhong

CoRR, April, 2025

A Model-Agnostic Framework for Interpretable Electricity Theft Detection.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2025

Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning.

[BibT_eX]

[DOI]

Chenglin Li

Guangchun Ruan

Hua Geng

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

A Two-Level Coordination Strategy for Distribution Network Balancing.

[BibT_eX]

[DOI]

Xueyuan Cui

Guangchun Ruan

François Vallée

Jean-François Toubeau

Yi Wang

IEEE Trans. Smart Grid, January, 2024

Transfer Learning-Driven Electricity Theft Detection in Small-Sample Cases.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

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

[BibT_eX]

[DOI]

Wenlong Liao

Birgitte Bak-Jensen

Jayakrishnan Radhakrishna Pillai

Xiaofang Xia

Guangchun Ruan

Zhe Yang

IEEE Trans. Instrum. Meas., 2024

Multi-Objective Sizing Optimization Method of Microgrid Considering Cost and Carbon Emissions.

[BibT_eX]

[DOI]

CoRR, 2024

Network-Constrained Unit Commitment with Flexible Temporal Resolution.

[BibT_eX]

[DOI]

CoRR, 2024

Frequency-Constrained Coordinated Planning of HVDC and Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2024

Dynamic Virtual Power Plants with Frequency Regulation Capacity.

[BibT_eX]

[DOI]

Xiang Zhu

Guangchun Ruan

Hua Geng

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Xuyang Li

Guangchun Ruan

Haiwang Zhong

CoRR, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

A Projection-Based Approach for Distributed Energy Resources Aggregation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2022

Improving Sample Efficiency of Deep Learning Models in Electricity Market.

[BibT_eX]

[DOI]

CoRR, 2022

Evaluation of Look-ahead Economic Dispatch Using Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

2021

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

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Estimating Demand Flexibility Using Siamese LSTM Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

2020

Review of Learning-Assisted Power System Optimization.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Guangchun Ruan

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