Nanpeng Yu

CoRR, 2024

Joint Planning of Charging Stations and Power Systems for Heavy-Duty Drayage Trucks.

[BibT_eX]

[DOI]

Ran Wei

CoRR, 2024

Impact of Flexible and Bidirectional Charging in Medium- and Heavy-Duty Trucks on California's Decarbonization Pathway.

[BibT_eX]

[DOI]

CoRR, 2024

On the Selection of Intermediate Length Representative Periods for Capacity Expansion.

[BibT_eX]

[DOI]

Osten Anderson

Konstantinos Oikonomou

Di Wu

CoRR, 2024

Improved Decarbonization Planning Through Climate Resiliency Modeling.

[BibT_eX]

[DOI]

IEEE Access, 2024

Predicting Power System Frequency Health Index with PMUs and Graph Attention Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2024

A Hybrid Query-Efficient Black-Box Adversarial Attack on Power System Event Classifiers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2024

2023

Lyapunov Optimization in Online Battery Energy Storage System Control for Commercial Buildings.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2023

Solve Large-scale Unit Commitment Problems by Physics-informed Graph Learning.

[BibT_eX]

[DOI]

Jingtao Qin

CoRR, 2023

Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Optimize Deep Decarbonization Pathways in California with Power System Planning Using Surrogate Level-based Lagrangian Relaxation.

[BibT_eX]

[DOI]

Osten Anderson

Mikhail A. Bragin

CoRR, 2023

Toward Efficient Transportation Electrification of Heavy-Duty Trucks: Joint Scheduling of Truck Routing and Charging.

[BibT_eX]

[DOI]

Mikhail A. Bragin

CoRR, 2023

An Optimization Method-Assisted Ensemble Deep Reinforcement Learning Algorithm to Solve Unit Commitment Problems.

[BibT_eX]

[DOI]

IEEE Access, 2023

Missing Value Replacement for PMU Data via Deep Learning Model With Magnitude Trend Decoupling.

[BibT_eX]

[DOI]

IEEE Access, 2023

Predict Locational Marginal Greenhouse Gas Emission Factors of Electricity with Spatial-Temporal Graph Convolutional Networks.

[BibT_eX]

[DOI]

Yinglun Li

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

Reconfigure Distribution Network with Physics-informed Graph Neural Network.

[BibT_eX]

[DOI]

Jingtao Qin

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

2022

Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-Grid Integration.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2022

Multi-Agent Deep Reinforcement Learning for Voltage Control With Coordinated Active and Reactive Power Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2022

Deep Reinforcement Learning Enabled Physical-Model-Free Two-Timescale Voltage Control Method for Active Distribution Systems.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2022

PowerMorph: QoS-Aware Server Power Reshaping for Data Center Regulation Service.

[BibT_eX]

[DOI]

Ali Jahanshahi

Daniel Wong

ACM Trans. Archit. Code Optim., 2022

Distributed and communication-efficient solutions to linear equations with special sparse structure.

[BibT_eX]

[DOI]

Syst. Control. Lett., 2022

pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events.

[BibT_eX]

[DOI]

CoRR, 2022

pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events - Part I: Overview and Results.

[BibT_eX]

[DOI]

CoRR, 2022

A Dynamic Behavior-Based Bulk Power System Event Signature Library With Empirical Clustering.

[BibT_eX]

[DOI]

IEEE Access, 2022

Fast Graphical Learning Method for Parameter Estimation in Large-Scale Distribution Networks.

[BibT_eX]

[DOI]

Yue Zhao

Proceedings of the IEEE International Conference on Communications, 2022

Data-Driven Ice Blockage Estimation of Water Intake at Niagara Hydropower Station.

[BibT_eX]

[DOI]

Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022

A Reinforcement Learning-based Volt-VAR Control Dataset and Testing Environment.

[BibT_eX]

[DOI]

Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022

Adversarial Attacks on Deep Neural Network-based Power System Event Classification Models.

[BibT_eX]

[DOI]

Yuanbin Cheng

Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022

Power System Event Identification with Transfer Learning Using Large-scale Real-world Synchrophasor Data in the United States.

[BibT_eX]

[DOI]

Jie Shi

Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

2021

Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks.

[BibT_eX]

[DOI]

Wei Wang

IEEE Trans. Smart Grid, 2021

Machine Learning-Driven Virtual Bidding with Electricity Market Efficiency Analysis.

[BibT_eX]

[DOI]

Yinglun Li

Wei Wang

CoRR, 2021

Estimate Three-Phase Distribution Line Parameters With Physics-Informed Graphical Learning Method.

[BibT_eX]

[DOI]

CoRR, 2021

Solving Unit Commitment Problems with Multi-step Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Jingtao Qin

Proceedings of the IEEE International Conference on Communications, 2021

Learning to Arbitrage Congestion in Electricity Market with Virtual Bids.

[BibT_eX]

[DOI]

Yinglun Li

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021

Detect and Identify Topology Change in Power Distribution Systems Using Graph Signal Processing.

[BibT_eX]

[DOI]

Osten Anderson

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021

Deep Reinforcement Learning in Power Distribution Systems: Overview, Challenges, and Opportunities.

[BibT_eX]

[DOI]

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021

Short-term Forecasting for Utilization Rates of Electric Vehicle Charging Stations.

[BibT_eX]

[DOI]

Ran Wei

Proceedings of the IEEE International Smart Cities Conference, 2021

Reinforcement Learning-based Smart Inverter Control with Polar Action Space in Power Distribution Systems.

[BibT_eX]

[DOI]

Farzana Kabir

Proceedings of the IEEE Conference on Control Technology and Applications, 2021

Analyzing Data Selection Techniques with Tools from the Theory of Information Losses.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

Linearized Price-Responsive HVAC Controller for Optimal Scheduling of Smart Building Loads.

[BibT_eX]

[DOI]

Mohammad Ostadijafari

Anamika Dubey

IEEE Trans. Smart Grid, 2020

Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

Improving Supervised Phase Identification Through the Theory of Information Losses.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

Information Losses in Neural Classifiers From Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Operating Electric Vehicle Fleet for Ride-Hailing Services With Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2020

Power System Event Identification based on Deep Neural Network with Information Loading.

[BibT_eX]

[DOI]

Jie Shi

CoRR, 2020

On the Maximum Mutual Information Capacity of Neural Architectures.

[BibT_eX]

[DOI]

CoRR, 2020

Optimal Placement and Intelligent Smoke Detection Algorithm for Wildfire-Monitoring Cameras.

[BibT_eX]

[DOI]

IEEE Access, 2020

Online Event Detection in Synchrophasor Data with Graph Signal Processing.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Communications, 2020

HAT-DRL: Hotspot-Aware Task Mapping for Lifetime Improvement of Multicore System using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, 2020

Detection and Segmentation of Power Line Fires in Videos.

[BibT_eX]

[DOI]

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

2019

A Physically Inspired Data-Driven Model for Electricity Theft Detection With Smart Meter Data.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2019

Smart Building Energy Management using Nonlinear Economic Model Predictive Control.

[BibT_eX]

[DOI]

Mohammad Ostadijafari

CoRR, 2019

Maximum Marginal Likelihood Estimation of Phase Connections in Power Distribution Systems.

[BibT_eX]

[DOI]

CoRR, 2019

Interpreting Active Learning Methods Through Information Losses.

[BibT_eX]

[DOI]

CoRR, 2019

Asymptotic Finite Sample Information Losses in Neural Classifiers.

[BibT_eX]

[DOI]

CoRR, 2019

Volt-VAR Control in Power Distribution Systems with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Estimation of Behind-the-Meter Solar Generation by Integrating Physical with Statistical Models.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Dynamic Distribution Network Reconfiguration Using Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018

Improved Battery Storage Valuation Through Degradation Reduction.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2018

Nonintrusive Load Monitoring Based on Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Data Analytics for Renewable Energy Integration. Technologies, Systems and Society, 2018

Communication-efficient Distributed Solutions to a System of Linear Equations with Laplacian Sparse Structure.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Impacts of Climate Change and Socioeconomic Development on Electric Load in California.

[BibT_eX]

[DOI]

Jie Shi

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017

Multiperiod Risk-Limiting Dispatch in Power Systems With Renewables Integration.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2017

Phase Balancing in Power Distribution Network with Data Center.

[BibT_eX]

[DOI]

Wei Wang

SIGMETRICS Perform. Evaluation Rev., 2017

State estimation for unbalanced electric power distribution systems using AMI data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

Evaluation of frequency regulation provision by commercial building HVAC systems.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2016

An Energy Scheduling Algorithm Supporting Power Quality Management in Commercial Building Microgrids.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2016

Proactive Demand Participation of Smart Buildings in Smart Grid.

[BibT_eX]

[DOI]

Tianshu Wei

Qi Zhu

IEEE Trans. Computers, 2016

Phase Identification in Electric Power Distribution Systems by Clustering of Smart Meter Data.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015

Convergence of the Surrogate Lagrangian Relaxation Method.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2015

Big data analytics in power distribution systems.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2015

From passive demand response to proactive demand participation.

[BibT_eX]

[DOI]