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2020 – today
- 2024
[j26]Osten Anderson
, Cameron Bracken, Casey D. Burleyson, Alex Pusch, Nanpeng Yu:
Improved Decarbonization Planning Through Climate Resiliency Modeling. IEEE Access 12: 128494-128508 (2024)- [j25]Jiazhou Wang, Jue Tian, Nanpeng Yu, Yang Liu, Haichuan Zhang, Yadong Zhou, Ting Liu:
A Dynamic and Static Combined State Recovery Method Against FDI Attacks in Power Grids. IEEE Trans. Smart Grid 15(6): 6018-6030 (2024) - [c30]Koji Yamashita, Nanpeng Yu, Evangelos Farantatos, Lin Zhu:
Predicting Power System Frequency Health Index with PMUs and Graph Attention Networks. SmartGridComm 2024: 353-358 - [c29]Yuanbin Cheng, Koji Yamashita, Nanpeng Yu, Yang Liu:
A Hybrid Query-Efficient Black-Box Adversarial Attack on Power System Event Classifiers. SmartGridComm 2024: 359-365 - [i24]Osten Anderson, Nanpeng Yu, Konstantinos Oikonomou, Di Wu:
On the Selection of Intermediate Length Representative Periods for Capacity Expansion. CoRR abs/2401.02888 (2024) - [i23]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 abs/2401.10194 (2024) - [i22]Zuzhao Ye, Nanpeng Yu, Ran Wei:
Joint Planning of Charging Stations and Power Systems for Heavy-Duty Drayage Trucks. CoRR abs/2403.14866 (2024) - [i21]Shaorong Zhang, Yuanbin Cheng, Nanpeng Yu:
Generating Synthetic Net Load Data with Physics-informed Diffusion Model. CoRR abs/2406.01913 (2024) - 2023
- [j24]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: 27450-27461 (2023) - [j23]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: 100125-100136 (2023) - [j22]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): 328-340 (2023) - [c28]Jingtao Qin, Nanpeng Yu:
Reconfigure Distribution Network with Physics-informed Graph Neural Network. ISGT EUROPE 2023: 1-6 - [c27]Wenyu Wang, Yinglun Li, Nanpeng Yu:
Predict Locational Marginal Greenhouse Gas Emission Factors of Electricity with Spatial-Temporal Graph Convolutional Networks. ISGT EUROPE 2023: 1-6 - [i20]Mikhail A. Bragin, Zuzhao Ye, Nanpeng Yu:
Toward Efficient Transportation Electrification of Heavy-Duty Trucks: Joint Scheduling of Truck Routing and Charging. CoRR abs/2302.00240 (2023) - [i19]Osten Anderson, Nanpeng Yu, Mikhail A. Bragin:
Optimize Deep Decarbonization Pathways in California with Power System Planning Using Surrogate Level-based Lagrangian Relaxation. CoRR abs/2309.07202 (2023) - [i18]Yuanbin Cheng, Koji Yamashita, Jim Follum, Nanpeng Yu:
Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models. CoRR abs/2311.07110 (2023) - [i17]Jingtao Qin, Nanpeng Yu:
Solve Large-scale Unit Commitment Problems by Physics-informed Graph Learning. CoRR abs/2311.15216 (2023) - 2022
- [j21]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: 96307-96321 (2022) - [j20]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: 105065 (2022) - [j19]Ali Jahanshahi, Nanpeng Yu, Daniel Wong:
PowerMorph: QoS-Aware Server Power Reshaping for Data Center Regulation Service. ACM Trans. Archit. Code Optim. 19(3): 36:1-36:27 (2022) - [j18]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): 149-165 (2022) - [j17]Zuzhao Ye, Yuanqi Gao, Nanpeng Yu:
Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-Grid Integration. IEEE Trans. Smart Grid 13(4): 3038-3048 (2022) - [j16]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): 4873-4886 (2022) - [c26]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: 1-5 - [c25]Yuanqi Gao, Nanpeng Yu:
A Reinforcement Learning-based Volt-VAR Control Dataset and Testing Environment. ISGT Asia 2022: 61-65 - [c24]Yuanbin Cheng, Koji Yamashita, Nanpeng Yu:
Adversarial Attacks on Deep Neural Network-based Power System Event Classification Models. ISGT Asia 2022: 66-70 - [c23]Koji Yamashita, Nanpeng Yu:
Data-Driven Ice Blockage Estimation of Water Intake at Niagara Hydropower Station. ISGT Asia 2022: 71-75 - [c22]Wenyu Wang, Nanpeng Yu, Yue Zhao:
Fast Graphical Learning Method for Parameter Estimation in Large-Scale Distribution Networks. SmartGridComm 2022: 27-33 - [i16]Brandon Foggo, Koji Yamashita, Nanpeng Yu:
pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events - Part I: Overview and Results. CoRR abs/2204.01095 (2022) - [i15]Yuanqi Gao, Nanpeng Yu:
A Reinforcement Learning-based Volt-VAR Control Dataset and Testing Environment. CoRR abs/2204.09500 (2022) - [i14]Jingtao Qin, Yuanqi Gao, Mikhail A. Bragin, Nanpeng Yu:
An Optimization Method-Assisted Ensemble Deep Reinforcement Learning Algorithm to Solve Unit Commitment Problems. CoRR abs/2206.04249 (2022) - [i13]Brandon Foggo, Koji Yamashita, Nanpeng Yu:
pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events. CoRR abs/2210.14204 (2022) - 2021
- [j15]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): 3594-3604 (2021) - [c21]Brandon Foggo, Nanpeng Yu:
Analyzing Data Selection Techniques with Tools from the Theory of Information Losses. IEEE BigData 2021: 7-16 - [c20]Farzana Kabir, Yuanqi Gao, Nanpeng Yu:
Reinforcement Learning-based Smart Inverter Control with Polar Action Space in Power Distribution Systems. CCTA 2021: 315-322 - [c19]Zuzhao Ye, Ran Wei, Nanpeng Yu:
Short-term Forecasting for Utilization Rates of Electric Vehicle Charging Stations. ISC2 2021: 1-7 - [c18]Yuanqi Gao, Nanpeng Yu:
Deep Reinforcement Learning in Power Distribution Systems: Overview, Challenges, and Opportunities. ISGT 2021: 1-5 - [c17]Osten Anderson, Nanpeng Yu:
Detect and Identify Topology Change in Power Distribution Systems Using Graph Signal Processing. ISGT-Europe 2021: 1-6 - [c16]Yinglun Li, Nanpeng Yu:
Learning to Arbitrage Congestion in Electricity Market with Virtual Bids. ISGT-Europe 2021: 1-6 - [c15]Jingtao Qin, Nanpeng Yu, Yuanqi Gao:
Solving Unit Commitment Problems with Multi-step Deep Reinforcement Learning. SmartGridComm 2021: 140-145 - [i12]Wenyu Wang, Nanpeng Yu:
Estimate Three-Phase Distribution Line Parameters With Physics-Informed Graphical Learning Method. CoRR abs/2102.09023 (2021) - [i11]Yinglun Li, Nanpeng Yu, Wei Wang:
Machine Learning-Driven Virtual Bidding with Electricity Market Efficiency Analysis. CoRR abs/2104.02754 (2021) - [i10]Zuzhao Ye, Yuanqi Gao, Nanpeng Yu:
Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-grid Integration. CoRR abs/2111.01294 (2021) - 2020
- [j14]Jie Shi, Wei Wang, Yuanqi Gao, Nanpeng Yu:
Optimal Placement and Intelligent Smoke Detection Algorithm for Wildfire-Monitoring Cameras. IEEE Access 8: 72326-72339 (2020) - [j13]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): 4822-4834 (2020) - [j12]Brandon Foggo, Nanpeng Yu, Jie Shi, Yuanqi Gao:
Information Losses in Neural Classifiers From Sampling. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4073-4083 (2020) - [j11]Brandon Foggo, Nanpeng Yu:
Improving Supervised Phase Identification Through the Theory of Information Losses. IEEE Trans. Smart Grid 11(3): 2337-2346 (2020) - [j10]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): 3008-3018 (2020) - [j9]Mohammad Ostadijafari, Anamika Dubey, Nanpeng Yu:
Linearized Price-Responsive HVAC Controller for Optimal Scheduling of Smart Building Loads. IEEE Trans. Smart Grid 11(4): 3131-3145 (2020) - [j8]Yuanqi Gao, Wei Wang, Jie Shi, Nanpeng Yu:
Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration. IEEE Trans. Smart Grid 11(6): 5357-5369 (2020) - [c14]Jie Shi, Wei Wang, Yuanqi Gao, Nanpeng Yu:
Detection and Segmentation of Power Line Fires in Videos. ISGT 2020: 1-5 - [c13]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: 77-82 - [c12]Jie Shi, Brandon Foggo, Xianghao Kong, Yuanbin Cheng, Nanpeng Yu, Koji Yamashita:
Online Event Detection in Synchrophasor Data with Graph Signal Processing. SmartGridComm 2020: 1-7 - [i9]Brandon Foggo, Nanpeng Yu:
On the Maximum Mutual Information Capacity of Neural Architectures. CoRR abs/2006.06037 (2020) - [i8]Yuanqi Gao, Wei Wang, Jie Shi, Nanpeng Yu:
Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration. CoRR abs/2006.12749 (2020) - [i7]Yuanqi Gao, Wei Wang, Nanpeng Yu:
Consensus Multi-Agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks. CoRR abs/2007.02991 (2020) - [i6]Jie Shi, Brandon Foggo, Nanpeng Yu:
Power System Event Identification based on Deep Neural Network with Information Loading. CoRR abs/2011.06718 (2020)
2010 – 2019
- 2019
- [j7]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): 5076-5088 (2019) - [c11]Yuanqi Gao, Jie Shi, Wei Wang, Nanpeng Yu:
Dynamic Distribution Network Reconfiguration Using Reinforcement Learning. SmartGridComm 2019: 1-7 - [c10]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: 1-6 - [c9]Wei Wang, Nanpeng Yu, Jie Shi, Yuanqi Gao:
Volt-VAR Control in Power Distribution Systems with Deep Reinforcement Learning. SmartGridComm 2019: 1-7 - [i5]Brandon Foggo, Nanpeng Yu, Jie Shi, Yuanqi Gao:
Asymptotic Finite Sample Information Losses in Neural Classifiers. CoRR abs/1902.05991 (2019) - [i4]Brandon Foggo, Nanpeng Yu:
Interpreting Active Learning Methods Through Information Losses. CoRR abs/1902.09602 (2019) - [i3]Wenyu Wang, Nanpeng Yu:
Maximum Marginal Likelihood Estimation of Phase Connections in Power Distribution Systems. CoRR abs/1902.09686 (2019) - [i2]Mohammad Ostadijafari, Anamika Dubey, Yang Liu, Jie Shi, Nanpeng Yu:
Smart Building Energy Management using Nonlinear Economic Model Predictive Control. CoRR abs/1906.00362 (2019) - [i1]Brandon Foggo, Nanpeng Yu:
Improving Supervised Phase Identification Through the Theory of Information Losses. CoRR abs/1911.01484 (2019) - 2018
- [j6]Brandon Foggo, Nanpeng Yu:
Improved Battery Storage Valuation Through Degradation Reduction. IEEE Trans. Smart Grid 9(6): 5721-5732 (2018) - [c8]Jie Shi, Nanpeng Yu:
Impacts of Climate Change and Socioeconomic Development on Electric Load in California. Australasian Conference on Artificial Intelligence 2018: 124-132 - [c7]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: 3367-3372 - [c6]Ke Wang, Haiwang Zhong, Nanpeng Yu, Qing Xia:
Nonintrusive Load Monitoring Based on Deep Learning. DARE@PKDD/ECML 2018: 137-147 - 2017
- [j5]Wei Wang, Nanpeng Yu:
Phase Balancing in Power Distribution Network with Data Center. SIGMETRICS Perform. Evaluation Rev. 45(2): 64-69 (2017) - [j4]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): 1843-1854 (2017) - [c5]Yang Liu, Nanpeng Yu, Jie Shi, Bing Dong, Wei Ren, Xiaohong Guan:
Evaluation of frequency regulation provision by commercial building HVAC systems. CASE 2017: 888-893 - [c4]Yuanqi Gao, Nanpeng Yu:
State estimation for unbalanced electric power distribution systems using AMI data. ISGT 2017: 1-5 - 2016
- [j3]Tianshu Wei, Qi Zhu, Nanpeng Yu:
Proactive Demand Participation of Smart Buildings in Smart Grid. IEEE Trans. Computers 65(5): 1392-1406 (2016) - [j2]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): 1044-1056 (2016) - [c3]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: 259-265 - 2015
- [j1]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): 173-201 (2015) - [c2]Nanpeng Yu, Tianshu Wei, Qi Zhu:
From passive demand response to proactive demand participation. CASE 2015: 1300-1306 - [c1]Nanpeng Yu, Sunil Shah, Raymond Johnson, Robert Sherick, Mingguo Hong, Kenneth A. Loparo:
Big data analytics in power distribution systems. ISGT 2015: 1-5
Coauthor Index
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