Nanpeng Yu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 73

Top Topics

Distribution Systems

Reinforcement Learning

Top Venues

IEEE Trans. Smart Grid

Publications

Zuzhao Ye, Nanpeng Yu, Ran Wei
Joint Planning of Charging Stations and Power Systems for Heavy-Duty Drayage Trucks. CoRR (2024)
Shaorong Zhang, Yuanbin Cheng, Nanpeng Yu
Generating Synthetic Net Load Data with Physics-informed Diffusion Model. CoRR (2024)
Osten Anderson, Nanpeng Yu, Konstantinos Oikonomou, Di Wu
On the Selection of Intermediate Length Representative Periods for Capacity Expansion. CoRR (2024)
Osten Anderson, Wanshi Hong, Bin Wang, Nanpeng Yu
Impact of Flexible and Bidirectional Charging in Medium- and Heavy-Duty Trucks on California's Decarbonization Pathway. CoRR (2024)
Jingtao Qin, Yuanqi Gao, Mikhail A. Bragin, Nanpeng Yu
An Optimization Method-Assisted Ensemble Deep Reinforcement Learning Algorithm to Solve Unit Commitment Problems. IEEE Access 11 (2023)
Osten Anderson, Nanpeng Yu, Mikhail A. Bragin
Optimize Deep Decarbonization Pathways in California with Power System Planning Using Surrogate Level-based Lagrangian Relaxation. CoRR (2023)
Jingtao Qin, Nanpeng Yu
Reconfigure Distribution Network with Physics-informed Graph Neural Network. ISGT EUROPE (2023)
Jingtao Qin, Nanpeng Yu
Solve Large-scale Unit Commitment Problems by Physics-informed Graph Learning. CoRR (2023)
Yuanbin Cheng, Brandon Foggo, Koji Yamashita, Nanpeng Yu
Missing Value Replacement for PMU Data via Deep Learning Model With Magnitude Trend Decoupling. IEEE Access 11 (2023)
Wenyu Wang, Yinglun Li, Nanpeng Yu
Predict Locational Marginal Greenhouse Gas Emission Factors of Electricity with Spatial-Temporal Graph Convolutional Networks. ISGT EUROPE (2023)
Yuanbin Cheng, Koji Yamashita, Jim Follum, Nanpeng Yu
Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models. CoRR (2023)
Jie Shi, Zuzhao Ye, Huaizhu Oliver Gao, Nanpeng Yu
Lyapunov Optimization in Online Battery Energy Storage System Control for Commercial Buildings. IEEE Trans. Smart Grid 14 (1) (2023)
Mikhail A. Bragin, Zuzhao Ye, Nanpeng Yu
Toward Efficient Transportation Electrification of Heavy-Duty Trucks: Joint Scheduling of Truck Routing and Charging. CoRR (2023)
Koji Yamashita, Brandon Foggo, Xianghao Kong, Yuanbin Cheng, Jie Shi, Nanpeng Yu
A Dynamic Behavior-Based Bulk Power System Event Signature Library With Empirical Clustering. IEEE Access 10 (2022)
Di Cao, Junbo Zhao, Weihao Hu, Nanpeng Yu, Fei Ding, Qi Huang, Zhe Chen
Deep Reinforcement Learning Enabled Physical-Model-Free Two-Timescale Voltage Control Method for Active Distribution Systems. IEEE Trans. Smart Grid 13 (1) (2022)
Peng Wang, Yuanqi Gao, Nanpeng Yu, Wei Ren, Jianming Lian, Di Wu
Distributed and communication-efficient solutions to linear equations with special sparse structure. Syst. Control. Lett. 160 (2022)
Daner Hu, Zhenhui Ye, Yuanqi Gao, Zuzhao Ye, Yonggang Peng, Nanpeng Yu
Multi-Agent Deep Reinforcement Learning for Voltage Control With Coordinated Active and Reactive Power Optimization. IEEE Trans. Smart Grid 13 (6) (2022)
Jingtao Qin, Yuanqi Gao, Mikhail A. Bragin, Nanpeng Yu
An Optimization Method-Assisted Ensemble Deep Reinforcement Learning Algorithm to Solve Unit Commitment Problems. CoRR (2022)
Zuzhao Ye, Yuanqi Gao, Nanpeng Yu
Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-Grid Integration. IEEE Trans. Smart Grid 13 (4) (2022)
Yuanqi Gao, Nanpeng Yu
A Reinforcement Learning-based Volt-VAR Control Dataset and Testing Environment. CoRR (2022)
Brandon Foggo, Koji Yamashita, Nanpeng Yu
pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events - Part I: Overview and Results. CoRR (2022)
Yuanbin Cheng, Koji Yamashita, Nanpeng Yu
Adversarial Attacks on Deep Neural Network-based Power System Event Classification Models. ISGT Asia (2022)
Wenyu Wang, Nanpeng Yu, Yue Zhao
Fast Graphical Learning Method for Parameter Estimation in Large-Scale Distribution Networks. SmartGridComm (2022)
Brandon Foggo, Koji Yamashita, Nanpeng Yu
pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events. CoRR (2022)
Yuanqi Gao, Nanpeng Yu
A Reinforcement Learning-based Volt-VAR Control Dataset and Testing Environment. ISGT Asia (2022)
Jie Shi, Koji Yamashita, Nanpeng Yu
Power System Event Identification with Transfer Learning Using Large-scale Real-world Synchrophasor Data in the United States. ISGT (2022)
Koji Yamashita, Nanpeng Yu
Data-Driven Ice Blockage Estimation of Water Intake at Niagara Hydropower Station. ISGT Asia (2022)
Ali Jahanshahi, Nanpeng Yu, Daniel Wong
PowerMorph: QoS-Aware Server Power Reshaping for Data Center Regulation Service. ACM Trans. Archit. Code Optim. 19 (3) (2022)
Yuanqi Gao, Wei Wang, Nanpeng Yu
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks. IEEE Trans. Smart Grid 12 (4) (2021)
Brandon Foggo, Nanpeng Yu
Analyzing Data Selection Techniques with Tools from the Theory of Information Losses. IEEE BigData (2021)
Zuzhao Ye, Yuanqi Gao, Nanpeng Yu
Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-grid Integration. CoRR (2021)
Farzana Kabir, Yuanqi Gao, Nanpeng Yu
Reinforcement Learning-based Smart Inverter Control with Polar Action Space in Power Distribution Systems. CCTA (2021)
Zuzhao Ye, Ran Wei, Nanpeng Yu
Short-term Forecasting for Utilization Rates of Electric Vehicle Charging Stations. ISC2 (2021)
Yuanqi Gao, Nanpeng Yu
Deep Reinforcement Learning in Power Distribution Systems: Overview, Challenges, and Opportunities. ISGT (2021)
Osten Anderson, Nanpeng Yu
Detect and Identify Topology Change in Power Distribution Systems Using Graph Signal Processing. ISGT-Europe (2021)
Wenyu Wang, Nanpeng Yu
Estimate Three-Phase Distribution Line Parameters With Physics-Informed Graphical Learning Method. CoRR (2021)
Jingtao Qin, Nanpeng Yu, Yuanqi Gao
Solving Unit Commitment Problems with Multi-step Deep Reinforcement Learning. SmartGridComm (2021)
Yinglun Li, Nanpeng Yu, Wei Wang
Machine Learning-Driven Virtual Bidding with Electricity Market Efficiency Analysis. CoRR (2021)
Yinglun Li, Nanpeng Yu
Learning to Arbitrage Congestion in Electricity Market with Virtual Bids. ISGT-Europe (2021)
Mohammad Ostadijafari, Anamika Dubey, Nanpeng Yu
Linearized Price-Responsive HVAC Controller for Optimal Scheduling of Smart Building Loads. IEEE Trans. Smart Grid 11 (4) (2020)
Yuanqi Gao, Wei Wang, Nanpeng Yu
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks. CoRR (2020)
Brandon Foggo, Nanpeng Yu, Jie Shi, Yuanqi Gao
Information Losses in Neural Classifiers From Sampling. IEEE Trans. Neural Networks Learn. Syst. 31 (10) (2020)
Jie Shi, Wei Wang, Yuanqi Gao, Nanpeng Yu
Detection and Segmentation of Power Line Fires in Videos. ISGT (2020)
Wei Wang, Nanpeng Yu, Yuanqi Gao, Jie Shi
Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems. IEEE Trans. Smart Grid 11 (4) (2020)
Jie Shi, Yuanqi Gao, Wei Wang, Nanpeng Yu, Petros A. Ioannou
Operating Electric Vehicle Fleet for Ride-Hailing Services With Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 21 (11) (2020)
Brandon Foggo, Nanpeng Yu
Improving Supervised Phase Identification Through the Theory of Information Losses. IEEE Trans. Smart Grid 11 (3) (2020)
Jie Shi, Wei Wang, Yuanqi Gao, Nanpeng Yu
Optimal Placement and Intelligent Smoke Detection Algorithm for Wildfire-Monitoring Cameras. IEEE Access 8 (2020)
Jie Shi, Brandon Foggo, Nanpeng Yu
Power System Event Identification based on Deep Neural Network with Information Loading. CoRR (2020)
Jinwei Zhang, Sheriff Sadiqbatcha, Yuanqi Gao, Michael O'Dea, Nanpeng Yu, Sheldon X.-D. Tan
HAT-DRL: Hotspot-Aware Task Mapping for Lifetime Improvement of Multicore System using Deep Reinforcement Learning. MLCAD (2020)
Yuanqi Gao, Wei Wang, Jie Shi, Nanpeng Yu
Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration. IEEE Trans. Smart Grid 11 (6) (2020)
Jie Shi, Brandon Foggo, Xianghao Kong, Yuanbin Cheng, Nanpeng Yu, Koji Yamashita
Online Event Detection in Synchrophasor Data with Graph Signal Processing. SmartGridComm (2020)
Brandon Foggo, Nanpeng Yu
On the Maximum Mutual Information Capacity of Neural Architectures. CoRR (2020)
Yuanqi Gao, Wei Wang, Jie Shi, Nanpeng Yu
Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration. CoRR (2020)
Brandon Foggo, Nanpeng Yu, Jie Shi, Yuanqi Gao
Asymptotic Finite Sample Information Losses in Neural Classifiers. CoRR (2019)
Wei Wang, Nanpeng Yu, Jie Shi, Yuanqi Gao
Volt-VAR Control in Power Distribution Systems with Deep Reinforcement Learning. SmartGridComm (2019)
Mohammad Ostadijafari, Anamika Dubey, Yang Liu, Jie Shi, Nanpeng Yu
Smart Building Energy Management using Nonlinear Economic Model Predictive Control. CoRR (2019)
Wenyu Wang, Nanpeng Yu
Maximum Marginal Likelihood Estimation of Phase Connections in Power Distribution Systems. CoRR (2019)
Yuanqi Gao, Brandon Foggo, Nanpeng Yu
A Physically Inspired Data-Driven Model for Electricity Theft Detection With Smart Meter Data. IEEE Trans. Ind. Informatics 15 (9) (2019)
Yuanqi Gao, Jie Shi, Wei Wang, Nanpeng Yu
Dynamic Distribution Network Reconfiguration Using Reinforcement Learning. SmartGridComm (2019)
Brandon Foggo, Nanpeng Yu
Interpreting Active Learning Methods Through Information Losses. CoRR (2019)
Farzana Kabir, Nanpeng Yu, Weixin Yao, Rui Yang, Yingchen Zhang
Estimation of Behind-the-Meter Solar Generation by Integrating Physical with Statistical Models. SmartGridComm (2019)
Brandon Foggo, Nanpeng Yu
Improving Supervised Phase Identification Through the Theory of Information Losses. CoRR (2019)
Ke Wang, Haiwang Zhong, Nanpeng Yu, Qing Xia
Nonintrusive Load Monitoring Based on Deep Learning. DARE@PKDD/ECML (2018)
Peng Wang, Yuanqi Gao, Nanpeng Yu, Wei Ren, Jianming Lian, Di Wu
Communication-efficient Distributed Solutions to a System of Linear Equations with Laplacian Sparse Structure. CDC (2018)
Brandon Foggo, Nanpeng Yu
Improved Battery Storage Valuation Through Degradation Reduction. IEEE Trans. Smart Grid 9 (6) (2018)
Jie Shi, Nanpeng Yu
Impacts of Climate Change and Socioeconomic Development on Electric Load in California. Australasian Conference on Artificial Intelligence (2018)
Yang Liu, Nanpeng Yu, Jie Shi, Bing Dong, Wei Ren, Xiaohong Guan
Evaluation of frequency regulation provision by commercial building HVAC systems. CASE (2017)
Yuanqi Gao, Nanpeng Yu
State estimation for unbalanced electric power distribution systems using AMI data. ISGT (2017)
Wei Wang, Nanpeng Yu
Phase Balancing in Power Distribution Network with Data Center. SIGMETRICS Perform. Evaluation Rev. 45 (2) (2017)
Chaoyi Peng, Yunhe Hou, Nanpeng Yu, Jie Yan, Shunbo Lei, Weisheng Wang
Multiperiod Risk-Limiting Dispatch in Power Systems With Renewables Integration. IEEE Trans. Ind. Informatics 13 (4) (2017)
Tianshu Wei, Qi Zhu, Nanpeng Yu
Proactive Demand Participation of Smart Buildings in Smart Grid. IEEE Trans. Computers 65 (5) (2016)
Mingguo Hong, Xiangyang Yu, Nanpeng Yu, Kenneth A. Loparo
An Energy Scheduling Algorithm Supporting Power Quality Management in Commercial Building Microgrids. IEEE Trans. Smart Grid 7 (2) (2016)
Wenyu Wang, Nanpeng Yu, Brandon Foggo, Joshua Davis, Juan Li
Phase Identification in Electric Power Distribution Systems by Clustering of Smart Meter Data. ICMLA (2016)
Mikhail A. Bragin, Peter B. Luh, Joseph H. Yan, Nanpeng Yu, Gary A. Stern
Convergence of the Surrogate Lagrangian Relaxation Method. J. Optim. Theory Appl. 164 (1) (2015)
Nanpeng Yu, Sunil Shah, Raymond Johnson, Robert Sherick, Mingguo Hong, Kenneth A. Loparo
Big data analytics in power distribution systems. ISGT (2015)
Nanpeng Yu, Tianshu Wei, Qi Zhu
From passive demand response to proactive demand participation. CASE (2015)