From passive demand response to proactive demand participation. - Nanpeng Yu; Tianshu Wei; Qi Zhu 002 (CASE, 2015)

Big data analytics in power distribution systems. - Nanpeng Yu; Sunil Shah; Raymond Johnson; Robert Sherick; Mingguo Hong; Kenneth A. Loparo (ISGT, 2015)

Convergence of the Surrogate Lagrangian Relaxation Method. - Mikhail A. Bragin; Peter B. Luh; Joseph H. Yan; Nanpeng Yu; Gary A. Stern (J. Optim. Theory Appl., 2015)

Phase Identification in Electric Power Distribution Systems by Clustering of Smart Meter Data. - Wenyu Wang; Nanpeng Yu; Brandon Foggo; Joshua Davis; Juan Li (ICMLA, 2016)

Proactive Demand Participation of Smart Buildings in Smart Grid. - Tianshu Wei; Qi Zhu 002; Nanpeng Yu (IEEE Trans. Computers, 2016)

An Energy Scheduling Algorithm Supporting Power Quality Management in Commercial Building Microgrids. - Mingguo Hong; Xiangyang Yu; Nanpeng Yu; Kenneth A. Loparo (IEEE Trans. Smart Grid, 2016)

Evaluation of frequency regulation provision by commercial building HVAC systems. - Yang Liu 090; Nanpeng Yu; Jie Shi 002; Bing Dong; Wei Ren 001; Xiaohong Guan (CASE, 2017)

State estimation for unbalanced electric power distribution systems using AMI data. - Yuanqi Gao; Nanpeng Yu (ISGT, 2017)

Phase Balancing in Power Distribution Network with Data Center. - Wei Wang 241; Nanpeng Yu (SIGMETRICS Perform. Evaluation Rev., 2017)

Multiperiod Risk-Limiting Dispatch in Power Systems With Renewables Integration. - Chaoyi Peng; Yunhe Hou; Nanpeng Yu; Jie Yan; Shunbo Lei; Weisheng Wang (IEEE Trans. Ind. Informatics, 2017)

Impacts of Climate Change and Socioeconomic Development on Electric Load in California. - Jie Shi 002; Nanpeng Yu (Australasian Conference on Artificial Intelligence, 2018)

Communication-efficient Distributed Solutions to a System of Linear Equations with Laplacian Sparse Structure. - Peng Wang 029; Yuanqi Gao; Nanpeng Yu; Wei Ren 001; Jianming Lian; Di Wu 021 (CDC, 2018)

Nonintrusive Load Monitoring Based on Deep Learning. - Ke Wang; Haiwang Zhong; Nanpeng Yu; Qing Xia 001 (DARE@PKDD/ECML, 2018)

Improved Battery Storage Valuation Through Degradation Reduction. - Brandon Foggo; Nanpeng Yu (IEEE Trans. Smart Grid, 2018)

Dynamic Distribution Network Reconfiguration Using Reinforcement Learning. - Yuanqi Gao; Jie Shi 002; Wei Wang 241; Nanpeng Yu (SmartGridComm, 2019)

Estimation of Behind-the-Meter Solar Generation by Integrating Physical with Statistical Models. - Farzana Kabir; Nanpeng Yu; Weixin Yao; Rui Yang 015; Yingchen Zhang (SmartGridComm, 2019)

Volt-VAR Control in Power Distribution Systems with Deep Reinforcement Learning. - Wei Wang 241; Nanpeng Yu; Jie Shi 002; Yuanqi Gao (SmartGridComm, 2019)

Asymptotic Finite Sample Information Losses in Neural Classifiers. - Brandon Foggo; Nanpeng Yu; Jie Shi 002; Yuanqi Gao (CoRR, 2019)

Interpreting Active Learning Methods Through Information Losses. - Brandon Foggo; Nanpeng Yu (CoRR, 2019)

Maximum Marginal Likelihood Estimation of Phase Connections in Power Distribution Systems. - Wenyu Wang; Nanpeng Yu (CoRR, 2019)

Smart Building Energy Management using Nonlinear Economic Model Predictive Control. - Mohammad Ostadijafari; Anamika Dubey; Yang Liu 090; Jie Shi 002; Nanpeng Yu (CoRR, 2019)

A Physically Inspired Data-Driven Model for Electricity Theft Detection With Smart Meter Data. - Yuanqi Gao; Brandon Foggo; Nanpeng Yu (IEEE Trans. Ind. Informatics, 2019)

Detection and Segmentation of Power Line Fires in Videos. - Jie Shi 002; Wei Wang 241; Yuanqi Gao; Nanpeng Yu (ISGT, 2020)

HAT-DRL: Hotspot-Aware Task Mapping for Lifetime Improvement of Multicore System using Deep Reinforcement Learning. - Jinwei Zhang; Sheriff Sadiqbatcha; Yuanqi Gao; Michael O'Dea; Nanpeng Yu; Sheldon X.-D. Tan (MLCAD, 2020)

Online Event Detection in Synchrophasor Data with Graph Signal Processing. - Jie Shi 002; Brandon Foggo; Xianghao Kong; Yuanbin Cheng; Nanpeng Yu; Koji Yamashita (SmartGridComm, 2020)

Optimal Placement and Intelligent Smoke Detection Algorithm for Wildfire-Monitoring Cameras. - Jie Shi 002; Wei Wang 241; Yuanqi Gao; Nanpeng Yu (IEEE Access, 2020)

On the Maximum Mutual Information Capacity of Neural Architectures. - Brandon Foggo; Nanpeng Yu (CoRR, 2020)

Power System Event Identification based on Deep Neural Network with Information Loading. - Jie Shi 002; Brandon Foggo; Nanpeng Yu (CoRR, 2020)

Operating Electric Vehicle Fleet for Ride-Hailing Services With Reinforcement Learning. - Jie Shi 002; Yuanqi Gao; Wei Wang 241; Nanpeng Yu; Petros A. Ioannou (IEEE Trans. Intell. Transp. Syst., 2020)

Information Losses in Neural Classifiers From Sampling. - Brandon Foggo; Nanpeng Yu; Jie Shi 002; Yuanqi Gao (IEEE Trans. Neural Networks Learn. Syst., 2020)

Improving Supervised Phase Identification Through the Theory of Information Losses. - Brandon Foggo; Nanpeng Yu (IEEE Trans. Smart Grid, 2020)

Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration. - Yuanqi Gao; Wei Wang 241; Jie Shi 002; Nanpeng Yu (IEEE Trans. Smart Grid, 2020)

Linearized Price-Responsive HVAC Controller for Optimal Scheduling of Smart Building Loads. - Mohammad Ostadijafari; Anamika Dubey; Nanpeng Yu (IEEE Trans. Smart Grid, 2020)

Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems. - Wei Wang 241; Nanpeng Yu; Yuanqi Gao; Jie Shi 002 (IEEE Trans. Smart Grid, 2020)

Analyzing Data Selection Techniques with Tools from the Theory of Information Losses. - Brandon Foggo; Nanpeng Yu (IEEE BigData, 2021)

Reinforcement Learning-based Smart Inverter Control with Polar Action Space in Power Distribution Systems. - Farzana Kabir; Yuanqi Gao; Nanpeng Yu (CCTA, 2021)

Short-term Forecasting for Utilization Rates of Electric Vehicle Charging Stations. - Zuzhao Ye; Ran Wei; Nanpeng Yu (ISC2, 2021)

Deep Reinforcement Learning in Power Distribution Systems: Overview, Challenges, and Opportunities. - Yuanqi Gao; Nanpeng Yu (ISGT, 2021)

Detect and Identify Topology Change in Power Distribution Systems Using Graph Signal Processing. - Osten Anderson; Nanpeng Yu (ISGT-Europe, 2021)

Learning to Arbitrage Congestion in Electricity Market with Virtual Bids. - Yinglun Li; Nanpeng Yu (ISGT-Europe, 2021)

Solving Unit Commitment Problems with Multi-step Deep Reinforcement Learning. - Jingtao Qin; Nanpeng Yu; Yuanqi Gao (SmartGridComm, 2021)

Estimate Three-Phase Distribution Line Parameters With Physics-Informed Graphical Learning Method. - Wenyu Wang; Nanpeng Yu (CoRR, 2021)

Machine Learning-Driven Virtual Bidding with Electricity Market Efficiency Analysis. - Yinglun Li; Nanpeng Yu; Wei Wang 241 (CoRR, 2021)

Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks. - Yuanqi Gao; Wei Wang 241; Nanpeng Yu (IEEE Trans. Smart Grid, 2021)

Power System Event Identification with Transfer Learning Using Large-scale Real-world Synchrophasor Data in the United States. - Jie Shi 002; Koji Yamashita; Nanpeng Yu (ISGT, 2022)

Adversarial Attacks on Deep Neural Network-based Power System Event Classification Models. - Yuanbin Cheng; Koji Yamashita; Nanpeng Yu (ISGT Asia, 2022)

A Reinforcement Learning-based Volt-VAR Control Dataset and Testing Environment. - Yuanqi Gao; Nanpeng Yu (ISGT Asia, 2022)

Data-Driven Ice Blockage Estimation of Water Intake at Niagara Hydropower Station. - Koji Yamashita; Nanpeng Yu (ISGT Asia, 2022)

Fast Graphical Learning Method for Parameter Estimation in Large-Scale Distribution Networks. - Wenyu Wang; Nanpeng Yu; Yue Zhao 007 (SmartGridComm, 2022)

A Dynamic Behavior-Based Bulk Power System Event Signature Library With Empirical Clustering. - Koji Yamashita; Brandon Foggo; Xianghao Kong; Yuanbin Cheng; Jie Shi 002; Nanpeng Yu (IEEE Access, 2022)

pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events - Part I: Overview and Results. - Brandon Foggo; Koji Yamashita; Nanpeng Yu (CoRR, 2022)

pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events. - Brandon Foggo; Koji Yamashita; Nanpeng Yu (CoRR, 2022)

Distributed and communication-efficient solutions to linear equations with special sparse structure. - Peng Wang 029; Yuanqi Gao; Nanpeng Yu; Wei Ren 001; Jianming Lian; Di Wu 021 (Syst. Control. Lett., 2022)

PowerMorph: QoS-Aware Server Power Reshaping for Data Center Regulation Service. - Ali Jahanshahi; Nanpeng Yu; Daniel Wong 001 (ACM Trans. Archit. Code Optim., 2022)

Deep Reinforcement Learning Enabled Physical-Model-Free Two-Timescale Voltage Control Method for Active Distribution Systems. - Di Cao; Junbo Zhao 001; Weihao Hu; Nanpeng Yu; Fei Ding 001; Qi Huang 001; Zhe Chen 007 (IEEE Trans. Smart Grid, 2022)

Multi-Agent Deep Reinforcement Learning for Voltage Control With Coordinated Active and Reactive Power Optimization. - Daner Hu; Zhenhui Ye; Yuanqi Gao; Zuzhao Ye; Yonggang Peng; Nanpeng Yu (IEEE Trans. Smart Grid, 2022)

Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-Grid Integration. - Zuzhao Ye; Yuanqi Gao; Nanpeng Yu (IEEE Trans. Smart Grid, 2022)

Reconfigure Distribution Network with Physics-informed Graph Neural Network. - Jingtao Qin; Nanpeng Yu (ISGT EUROPE, 2023)

Predict Locational Marginal Greenhouse Gas Emission Factors of Electricity with Spatial-Temporal Graph Convolutional Networks. - Wenyu Wang; Yinglun Li; Nanpeng Yu (ISGT EUROPE, 2023)

Missing Value Replacement for PMU Data via Deep Learning Model With Magnitude Trend Decoupling. - Yuanbin Cheng; Brandon Foggo; Koji Yamashita; Nanpeng Yu (IEEE Access, 2023)

An Optimization Method-Assisted Ensemble Deep Reinforcement Learning Algorithm to Solve Unit Commitment Problems. - Jingtao Qin; Yuanqi Gao; Mikhail A. Bragin; Nanpeng Yu (IEEE Access, 2023)

Toward Efficient Transportation Electrification of Heavy-Duty Trucks: Joint Scheduling of Truck Routing and Charging. - Mikhail A. Bragin; Zuzhao Ye; Nanpeng Yu (CoRR, 2023)

Optimize Deep Decarbonization Pathways in California with Power System Planning Using Surrogate Level-based Lagrangian Relaxation. - Osten Anderson; Nanpeng Yu; Mikhail A. Bragin (CoRR, 2023)

Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models. - Yuanbin Cheng; Koji Yamashita; Jim Follum; Nanpeng Yu (CoRR, 2023)

Solve Large-scale Unit Commitment Problems by Physics-informed Graph Learning. - Jingtao Qin; Nanpeng Yu (CoRR, 2023)

Lyapunov Optimization in Online Battery Energy Storage System Control for Commercial Buildings. - Jie Shi 002; Zuzhao Ye; Huaizhu Oliver Gao; Nanpeng Yu (IEEE Trans. Smart Grid, 2023)

A Hybrid Query-Efficient Black-Box Adversarial Attack on Power System Event Classifiers. - Yuanbin Cheng; Koji Yamashita; Nanpeng Yu; Yang Liu 090 (SmartGridComm, 2024)

Predicting Power System Frequency Health Index with PMUs and Graph Attention Networks. - Koji Yamashita; Nanpeng Yu; Evangelos Farantatos; Lin Zhu (SmartGridComm, 2024)

Improved Decarbonization Planning Through Climate Resiliency Modeling. - Osten Anderson; Cameron Bracken; Casey D. Burleyson; Alex Pusch; Nanpeng Yu (IEEE Access, 2024)

On the Selection of Intermediate Length Representative Periods for Capacity Expansion. - Osten Anderson; Nanpeng Yu; Konstantinos Oikonomou; Di Wu 021 (CoRR, 2024)

Impact of Flexible and Bidirectional Charging in Medium- and Heavy-Duty Trucks on California's Decarbonization Pathway. - Osten Anderson; Wanshi Hong; Bin Wang; Nanpeng Yu (CoRR, 2024)

Joint Planning of Charging Stations and Power Systems for Heavy-Duty Drayage Trucks. - Zuzhao Ye; Nanpeng Yu; Ran Wei (CoRR, 2024)

Generating Synthetic Net Load Data with Physics-informed Diffusion Model. - Shaorong Zhang; Yuanbin Cheng; Nanpeng Yu (CoRR, 2024)

A Dynamic and Static Combined State Recovery Method Against FDI Attacks in Power Grids. - Jiazhou Wang; Jue Tian; Nanpeng Yu; Yang Liu 090; Haichuan Zhang; Yadong Zhou; Ting Liu 002 (IEEE Trans. Smart Grid, 2024)

Physical Intrusion Attack Detection in Fieldbus Network With Passive Fail-Safe Biasing. - Xiangming Wang; Yang Liu 090; Nanpeng Yu; Pengfei Liu; Nanyi Deng; Yanan Li; Ting Liu 002 (IEEE Trans Autom. Sci. Eng., 2025)

Neural Two-Stage Stochastic Optimization for Solving Unit Commitment Problem. - Zhentong Shao; Jingtao Qin; Nanpeng Yu (CoRR, 2025)