AI for Energy Systems
- [J78] Tianlong Wang, Wenxia Liu, Rui Cheng, Heshi Wang, Qingxin Shi, and Nanpeng Yu, "Topology-aware Distribution System State Estimation Using Bayesian Model-agnostic Meta-learning," under review, 2025.
- [J77] Koji Yamashita, Nanpeng Yu, Evangelos Farantatos, and Lin Zhu, "Graph Learning-based Power System Health Assessment Algorithm," under review, 2025.
- [J75] Shaorong Zhang, Yuanbin Cheng, and Nanpeng Yu, "Generating Synthetic Net Load Data with Physics-informed Diffusion Model," http://arxiv.org/abs/2406.01913, under review, 2025.
- [J71] Yuanbin Cheng, Koji Yamashita, James Follum, and Nanpeng Yu, "Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models," https://arxiv.org/abs/2311.07110, under review, 2025.
- [J70] Jingtao Qin and Nanpeng Yu, "Solve Large-scale Unit Commitment Problems by Physics-informed Graph Learning, " https://arxiv.org/pdf/2311.15216.pdf, under 2nd round of review, 2025.
- [J62] Zijun Wang, Yang Liu, Nanpeng Yu, Shaorong Zhang, Yadong Zhou, and Ting Liu, "Data Inference from Publicly Available Data: Threats and Defense Methods in Power Systems," IEEE Transactions on Power Systems, vol. 40, no. 1, pp. 1049-1059, Jan. 2025. DOI: 10.1109/TPWRS.2024.3420118.
- [J58] Brandon Foggo, Koji Yamashita, Nanpeng Yu, "pmuBAGE: The Benchmarking Assortment of Generated PMU Data for Power System Events," https://arxiv.org/abs/2210.14204, IEEE Transactions on Power Systems, vol. 39, no. 2, pp. 3485-3496, Mar. 2024.
- [J57] Di Cao, Junbo Zhao, Weihao Hu, Nanpeng Yu, Jiaxiang Hu, Qi Huang, Zhe Chen, "Physics-informed Graphical Learning and Bayesian Averaging for Robust Distribution State Estimation," IEEE Transactions on Power Systems, vol. 39, no. 2, pp. 2879-2892, Mar. 2024.
- [J56] Md. Zahidul Islam, Yuzhang Lin, Vinod. M. Vokkarane, and Nanpeng Yu, "Robust Real-Time Load Estimation Using Sparsely Selected Smart Meters with High Reporting Rates," Applied Energy, vol. 352, 2023.
- [J55] Jingtao Qin, Yuanqi Gao, Mikhail Bragin, and Nanpeng Yu, "An Optimization Method-Assisted Ensemble Deep Reinforcement Learning Algorithm to Solve Unit Commitment Problems," IEEE Access, vol. 11, pp. 100125-100136, 2023.
- [J54] Yuanbin Cheng, Brandon Foggo, Koji Yamashita, and Nanpeng Yu, "Missing Value Replacement for PMU Data via Deep Learning Model with Magnitude Trend Decoupling," IEEE Access, pp. 27450-27461, vol. 11, 2023.
- [J53] Farzana Kabir, Yuanqi Gao, Wenyu Wang and Nanpeng Yu, "Deep Reinforcement Learning-based Two-Timescale Volt-VAR Control with Degradation-aware Smart Inverters in Power Distribution Systems," Applied Energy, vol. 335, April 2023.
- [J52] Nanpeng Yu, Wenyu Wang, and Raymond Johnson, "Behind-the-Meter Resources: Data-Driven Modeling, Monitoring, and Control," IEEE Electrification Magazine, vol. 10, no. 4, pp. 20-28, 2022.
- [J50] Yuanqi Gao, Xian Wang, Nanpeng Yu, and Bryan Wong, "Harnessing Deep Reinforcement Learning to Discover Time-Dependent Optimal Fields for Quantum Control Dynamics," Physical Chemistry Chemical Physics, vol. 24, no. 39, pp. 23939-24596, Oct. 2022.
- [J49] Koji Yamashita, Brandon Foggo, Xianghao Kong, Yuanbin Cheng, Jie Shi, and Nanpeng Yu, "A Dynamic Behavior-based Bulk Power System Event Signature Library with Empirical Clustering," IEEE Access, vol. 10, 2022. DOI: 10.1109/ACCESS.2022.3205321.
- [J46] Daner Hu, Zhenhui Ye, Yuanqi Gao, Yonggang Peng, and Nanpeng Yu, "Multi-agent Deep Reinforcement Learning for Voltage Control with Coordinated Active and Reactive Power Optimization," IEEE Transactions on Smart Grid, vol. 13, no. 6, pp. 4873-4866, Nov. 2022. DOI: 10.1109/TSG.2022.3185975.
- [J44] Zuzhao Ye, Yuanqi Gao, and Nanpeng Yu, "Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-grid Integration," IEEE Transactions on Smart Grid, vol. 13, no. 4, pp. 3038-3048, https://arxiv.org/abs/2111.01294 , 2022, DOI: 10.1109/TSG.2022.3165479.
- [J43] Yuanbin Cheng, Nanpeng Yu, Brandon Foggo, and Koji Yamashita, "Online Power System Event Detection via Bidirectional Generative Adversarial Networks," IEEE Transactions on Power Systems, vol. 37, no. 6, pp. 4807-4818, Nov. 2022.
- [J41] Yuanqi Gao and Nanpeng Yu, "Model-Augmented Safe Reinforcement Learning for Volt-VAR Control in Power Distribution Networks," Applied Energy, vol. 313, May 2022.
- [J39] Di, Cao, Junbo Zhao, Weihao Hu, Nanpeng Yu, Fei Ding, Qi Huang, and Zhe Chen, "Deep Reinforcement Learning Enabled Physical-Model-Free Two-Timescale Voltage Control Method for Active Distribution Systems," IEEE Transactions on Smart Grid, vol. 13, no. 1, pp. 149-165, Jan. 2022.
- [J38] Di, Cao, Junbo Zhao, Weihao Hu, Fei Ding, Nanpeng Yu, Qi Huang, and Zhe Chen, "Model-free Voltage Control of Active Distribution System with PVs Using Surrogate Model-based Deep Reinforcement Learning," Applied Energy, Vol. 306, Part A, Jan. 2022.
- [J36] Wenyu Wang and Nanpeng Yu, "Estimate Three-phase Distribution Line Parameters with Physics-informed Graphical Learning Method," http://arxiv.org/abs/2102.09023, IEEE Transactions on Power Systems, vol. 37, no. 5, pp. 3577-3591, Sep. 2022. DOI: 10.1109/TPWRS.2021.3134952.
- [J35] Xianghao Kong, Brandon Foggo, Koji Yamashita, and Nanpeng Yu, "Online Voltage Event Detection Using Optimization with Structured Sparsity-Inducing Norms," IEEE Transactions on Power Systems, vol. 37, no. 5, Sep. 2022. DOI: 10.1109/TPWRS.2021.3134945.
- [J34] Brandon Foggo and Nanpeng Yu, "Online PMU Missing Value Replacement via Event-Participation Decomposition," IEEE Transactions on Power Systems, vol. 37, no. 1, pp. 488-496, Jan. 2022.
- [J33] Yinglun Li, Nanpeng Yu, and Wei Wang, "Machine Learning-Driven Virtual Bidding with Electricity Market Efficiency Analysis," IEEE Transactions on Power Systems, vol. 37, no. 1, pp. 354-364, Jan. 2022. https://arxiv.org/abs/2104.02754.
- [J32] Jie Shi, Brandon Foggo, and Nanpeng Yu, "Power System Event Identification based on Deep Neural Network with Information Loading," IEEE Transactions on Power Systems, vol. 36, no. 6, pp. 5622-5632, https://arxiv.org/abs/2011.06718, Nov. 2021.
- [J31] Yuanqi Gao, Wei Wang, and Nanpeng Yu, "Consensus Multi-agent Reinforcement Learning for Volt-VAR Control in Power Distribution Networks," IEEE Transactions on Smart Grid, vol. 12, no. 4, pp. 3594-3604, July, 2021. https://arxiv.org/abs/2007.02991, Digital Object Identifier: 10.1109/TSG.2021.3058996.
- [J30] Farzana Kabir, Nanpeng Yu, Weixin Yao, Rui Yang, and Yingchen Zhang, "Joint Estimation of Behind-the-Meter Solar Generation in a Community," IEEE Transactions on Sustainable Energy, vol. 12, no. 1, pp. 682-694, Jan. 2021, DOI: 10.1109/TSTE.2020.3016896.
- [J29] Yuanqi Gao, Wei Wang, Jie Shi, and Nanpeng Yu, "Batch-constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration," IEEE Transactions on Smart Grid, vol. 11, no. 6, pp. 5357-5369, https://arxiv.org/abs/2006.12749 , Digital Object Identifier: 10.1109/TSG.2020.3005270, 2020.
- [J28] Jie Shi, Wei Wang, Yuanqi Gao, and Nanpeng Yu, "Optimal Placement and Intelligent Smoke Detection Algorithm for Wildfire-Monitoring Cameras," IEEE Access, vol. 8, no. 1, pp. 72326-72339, December 2020.
- [J27] Wei Wang, Nanpeng Yu, Yuanqi Gao, and Jie Shi, "Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control Problems in Power Distribution Systems," IEEE Transactions on Smart Grid, vol. 11, no. 4, pp. 3008-3018, 2020.
- [J26] Brandon Foggo and Nanpeng Yu, "Improving Supervised Phase Identification Through the Theory of Information Losses," in Press, IEEE Transactions on Smart Grid, 2019, Digital Object Identifier: 10.1109/TSG.2019.2952080.
- [J24] Xiaoyang Zhou, Weixin Yao, and Nanpeng Yu, "A Robust Mixed Effects Segmented Regression Model for Electric Load Forecasting," under review, 2019.
- [J23] Jie Shi, Yuanqi Gao, Wei Wang, Nanpeng Yu, and Petros Ioannou, "Operating Electric Vehicle Fleet for Ride-Hailing Services with Reinforcement Learning," in press, IEEE Transactions on Intelligent Transportation Systems, 2019.
- [J22] Wenyu Wang and Nanpeng Yu, "Maximum Marginal Likelihood Estimation of Phase Connections in Power Distribution Systems," in Press, IEEE Transactions on Power Systems, Digital Object Identifier: 10.1109/TPWRS.2020.2977071, 2020.
- [J21] Brandon Foggo, Nanpeng Yu, Jie Shi and Yuanqi Gao, "Information Losses in Neural Classifiers from Sampling," in Press, IEEE Transactions on Neural Networks and Learning Systems, 2019.
- [J19] Yuanqi Gao, Brandon Foggo, and Nanpeng Yu "A Physically Inspired Data-Driven Model for Electricity Theft Detection with Smart Meter Data," IEEE Transactions on Industrial Informatics, in press, DOI:10.1109/TII.2019.2898171, 2019.
- [J17] Ke Wang, Haiwang Zhong, Nanpeng Yu, and Qing Xia, "Nonintrusive Load Monitoring based on Sequence-to-Sequence Model and Attention Mechanism," in press, Proceedigns of the CSEE, 2018.
- [J11] Wenyu Wang, Nanpeng Yu, and Raymond Johnson "A Model for Commercial Adoption of Photovoltaic Systems in California," Journal of Renewable and Sustainable Energy, Vol. 9, Issue, 2, pp.1-15, 2017.
- [C70] Zhentong Shao and Nanpeng Yu, "Carbon-Aware Optimal Power Flow with Data-Driven Carbon Emission Tracing," under review, 2024.
- [C69] Jeffrey Chan, Nanpeng Yu, and Yinglun Li, "Empirical Analysis of Financial Transmission Right Trading Behavior," 11th International Conference on Power and Energy Systems Engineering, 2024.
- [C68] Yuanbin Cheng, Koji Yamashita, Nanpeng Yu, and Yang Liu "A Hybrid Query-Efficient Black-Box Adversarial Attack on Power System Event Classifier,", IEEE SmartGridComm 2024.
- [C67] Koji Yamashita, Nanpeng Yu, Evangelos Farantatos and Lin Zhu, "Predicting Power System Frequency Health Index with PMUs and Graph Attention Networks," IEEE SmartGridComm 2024.
- [C65] Shaorong Zhang, Koji Yamashita, and Nanpeng Yu, "Learning Power System Dynamics with Neural Ordinary Differential Equations," IEEE PES General Meeting, 2024.
- [C64] Wenyu Wang, Zuzhao Ye, Nanpeng Yu, and Po-Chen Chen, "Prediction of Electric Vehicle Penetration and Its Impacts on Distribution Systems: A Real-World Case Study in Maryland," IEEE SusTech 2024.
- [C61] Wenyu Wang, Yinglun Li, and Nanpeng Yu, "Predict Locational Marginal Greenhouse Gas Emission Factors of Electricity with a Spatio-Temporal Graph Convolution Network," IEEE ISGT Europe, 2023.
- [C60] Jingtao Qin and Nanpeng Yu, "Reconfigure Distribution Network with Physics-informed Graph Neural Network," IEEE ISGT Europe, 2023.
- [C58] Koji Yamashita, Jingtao Qin, Nanpeng Yu, Evangelos Farantatos, and Lin Zhu, "Predicting Power System Voltage Health Index with Graph Convolutional Networks," IEEE PES General Meeting, 2023.
- [C57] Shaorong Zhang and Nanpeng Yu, "Learning Power System Dynamics with Nearly-Hamiltonian Neural Networks," IEEE PES General Meeting, 2023.
- [C56] Wenyu Wang, Nanpeng Yu, and Yue Zhao, "Fast Graphical Learning Method for Parameter Estimation in Large-Scale Distribution Networks," IEEE SmartGridComm, 2022.
- [C55] Koji Yamashita and Nanpeng Yu, "Data-Driven Ice Blockage Estimation of Water Intake at Niagara Hydropower Station," IEEE ISGT Asia, 2022.
- [C54] Yuanbin Cheng, Koji Yamashita, and Nanpeng Yu, "Adversarial Attacks on Deep Neural Network-based Power System Event Classification Models," IEEE ISGT Asia, 2022.
- [C53] Yuanqi Gao and Nanpeng Yu, "A Reinforcement Learning-based Volt-VAR Control Dataset and Testing Environment," IEEE ISGT Asia, https://arxiv.org/abs/2204.09500, 2022.
- [C52] Osten Anderson and Nanpeng Yu, "Learning to Steal Electricity in Power Distribution Systems with Deep Reinforcement Learning," 2022 Probabilistic Methods Applied to Power Systems, pp.1-6, 2022.
- [C51] Xianghao Kong, Koji Yamashita, Brandon Foggo, and Nanpeng Yu, "Dynamic Parameter Estimation with Physics-based Neural Ordinary Differential Equations" IEEE PES General Meeting, 2022.
- [C50] Wenyu Wang, Nanpeng Yu, Farnoosh Rahmatian, and Shikhar Pandey, "Where to Install Distribution Phasor Measurement Units to Obtain Accurate State Estimation Results?" IEEE PES General Meeting, 2022.
- [C49] Jie Shi, Koji Yamashita, and Nanpeng Yu, "Power System Event Identification with Transfer Learning Using Large-scale Real-world Synchrophasor Data in the United States," IEEE ISGT North America, 2022.
- [C47] Jingtao Qin, Nanpeng Yu, and Yuanqi Gao, "Solving Unit Commitment Problems with Deep Reinforcement Learning," IEEE SmartGridComm, 2021.
- [C46] Zuzhao Ye, Ran Wei, and Nanpeng Yu, "Short-term Forecasting for Utilization Rates of Electric Vehicle Charging Stations," 7th IEEE International Smart Cities Conference, 2021.
- [C45] Yinglun Li and Nanpeng Yu, "Learning to Arbitrage Congestion in Electricity Market with Virtual Bids," IEEE ISGT Europe, 2021.
- [C44] Osten Anderson and Nanpeng Yu, "Detect and Identify Topology Change in Power Distribution Systems Using Graph Signal Processing," IEEE ISGT Europe, 2021.
- [C43] Farzana Kabir, Yuanqi Gao, and Nanpeng Yu, "Reinforcement Learning-based Smart Inverter Control with Polar Action Space in Power Distribution Systems," IEEE Conference on Control Technology and Applications (CCTA 2021).
- [C42] Osten Anderson and Nanpeng Yu, "Distribution System Bad Data Detection Using Graph Signal Processing," IEEE PES General Meeting, 2021.
- [C41] Yuanqi Gao and Nanpeng Yu, "Deep Reinforcement Learning in Power Distribution Systems: Overview, Challenges, and Opportunities," IEEE ISGT North America, 2021.
- [C39] Jie Shi, Brandon Foggo, Xianghao Kong, Yuanbin Cheng, Nanpeng Yu, and Koji Yamashita "Online Event Detection in Synchrophasor Data with Graph Signal Processing," IEEE SmartGridComm, 2020.
- [C37] Wenyu Wang and Nanpeng Yu, "Parameter Estimation in Three-Phase Power Distribution Networks Using Smart Meter Data," submitted to the 16th International Conference on Probabilistic Methods Applied to Powre Systems, 2020.
- [C36] Wei Wang and Nanpeng Yu, "Partial Discharge Detection with Convolutional Neural Networks," submitted to the 16th International Conference on Probabilistic Methods Applied to Powre Systems, 2020.
- [C35] Wenyu Wang, Nanpeng Yu, Jie Shi, and Nery Navarro, "Diversity Factor Prediction for Distribution Feeders with Interpretable Machine Learning Algorithms," to appear in IEEE PES General Meeting, 2020.
- [C34] Jie Shi, Wei Wang, Yuanqi Gao, and Nanpeng Yu, "Detection and Segmentation of Power Line Fires in Videos," to appear in IEEE ISGT North America, pp. 1-5, 2019.
- [C33] Farzana Kabir, Nanpeng Yu, Weixin Yao, Rui Yang and Yingchen Zhang, "Estimation of Behind-the-Meter Solar Generation by Integrating Physical with Statistical Models," submitted to IEEE SmartGridComm, 2019.
- [C32] Jie Shi, Nanpeng Yu, Eamonn Keogh, Heng Chen and Koji Yamashita, "Discovering and Labeling Power System Events in Synchrophasor Data with Matrix Profile," submitted to IEEE SmartGridComm, 2019.
- [C31] Yuanqi Gao, Jie Shi, Wei Wang and Nanpeng yu, "Dynamic Distribution Network Reconfiguration Using Reinforcement Learning," to appear in IEEE SmartGridComm, 2019.
- [C30] Wei Wang, Nanpeng Yu, Jie Shi and Yuanqi Gao, "Volt-VAR Control in Power Distribution Systems with Deep Reinforcement Learning," to appear in IEEE SmartGridComm, 2019.
- [C23] Jie Shi and Nanpeng Yu, " The Impacts of Climate Change and Socioeconomic Development on Electric Load in California," in the 31st Australasian Joint Conference on Artificial Intelligence, pp. 1-12, 2018.
- [C22] Farzana Kabir, Brandon Foggo, and Nanpeng Yu, " Data Driven Predictive Maintenance of Distribution Transformers," in the 8th China International Conference on Electricity Distribution, pp. 1-5 2018.
- [C20] Brandon Foggo, Nanpeng Yu, and Wenyu Wang, " A Comprehensive Evaluation of Supervised Machine Learning for the Phase Identification Problem," submitted to 20th International Conference on Machine Learning and Applications, pp.1-9, Copenhagen, Denmark, 2018.
- [C19] Jinhui Yang, Nanpeng Yu, Weixin Yao, Alec Wong, Larry Juang, and Raymond Johnson, "Evaluate the effectiveness of Conservation Voltage Reduction with Robust Regression," in 2018 Probabilistic Methods Applied to Power Systems, pp.1-6, 2018.
- [C18] Wenyu Wang and Nanpeng Yu, "AMI Data Driven Phase Identification in Smart Grid," to appear in the Second International Conference on Green Communications, Computing and Technologies, Rome, Italy, Sep. 2017.
- [C17] Jie Shi and Nanpeng Yu, "Spatio-Temporal Modeling of Electric Loads," to appear in 49th North American Power Symposium, pp.1-6, Morgantown, WV, 2017.
- [C14] Yuanqi Gao and Nanpeng Yu, "State Estimation for Unbalanced Electric Power Distribution Systems Using AMI Data," The Eighth Conference on Innovative Smart Grid Technologies (ISGT 2017), pp. 1-5, Arlington, VA.
- [C12] Wenyu Wang, Nanpeng Yu, Brandon Foggo, and Joshua Davis, "Phase Identification in Electric Power Distribution Systems by Clustering of Smart Meter Data," 15th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 1-7, Anaheim, CA, 2016. (24.96% acceptance rate)
- [C9] Xiaoyang Zhou, Nanpeng Yu, Weixin Yao and Raymond Johnson, "Forecast Load Impact from Demand Response Resources, " IEEE Proceedings, Power and Energy Society General Meeting, pp. 1-5, Boston, USA, 2016. Nominated for Best Paper Award in Electric vehicles, energy storage, microgrids, and demand response operations and market economics.
- [C7] Nanpeng Yu, Sunil Shah, Raymond Johnson, Robert Sherick, Mingguo Hong and Kenneth Loparo, "Big Data Analytics in Power Distribution Systems", IEEE PES Conference on Intelligent Smart Grid Technology, Washington DC, Feb. 2015.
Smart Cities
- [J25] Mohammad Ostadijafari, Anamika Dubey, and Nanpeng Yu, "Linearzied Price-Responsive HVAC Controller for Optimal Scheduling of Smart Building Loads," under review, 2019.
- [J20] Wei Wang, Amirali Abdolrashidi, Nanpeng Yu and Daniel Wong "Frequency Regulation Service Provision by Data Center," in press, Applied Energy, 2019.
- [J18] Yang Liu, Nanpeng Yu, Wei Wang, Xiaohong Guan, Zhanbo Xu, Bing Dong, and Ting Liu, "Coordinating the Operations of Smart Buildings in Smart Grids," , Applied Energy, vol. 228, pp. 2510-2525, 2018.
- [J7] Tianshu Wei, Qi Zhu and Nanpeng Yu, "Proactive Demand Participation of Smart Buildings in Smart Grid," IEEE Transactions on Computers, Selected Topics in Smart City Computing, Vol. 65, pp. 1392-1406, 2015.
- [J6] Mingguo Hong, Xiangyang Yu, Nanpeng Yu, and Kenneth Loparo, "An Energy Scheduling Algorithm Supporting Power Quality Management in Commercial Building Microgrids," IEEE Transactions on Smart Grid, pp. 1-13, 2015.
- [C29] Mohammad Ostadijafari, Anamika Dubey, Yang Liu, Jie Shi, and Nanpeng Yu, "Smart Building Energy Management Using Nonlinear Economic Model Predictive Control," to appear in IEEE Power and Energy Society General Meeting, 2019.
- [C25] Jie Shi, Yuanqi Gao, and Nanpeng Yu, " Routing Electric Vehicle Fleet for Ride-sharing," in the 2nd IEEE Conference on Energy Internet and Energy System Integration, pp. 1-6, 2018.
- [C15] Zhaoxuan Li, Bing Dong, Nikolaos Gatsis, Ahmad F. Taha, and Nanpeng Yu, "Modeling, Simulation and Control of Smart and Connected Communities," Building Simulation, pp. 2277-2286, San Francisco, CA, 2017.
- [C13] Yang Liu, Nanpeng Yu, Jie Shi, Bing Dong, Wei Ren, and Xiaohong Guan, "Evaluation of Frequency Regulation Provision by Commercial Building HVAC systems," to appear in IEEE International Conference on Automation Science and Engineering, pp. 1-6, Xi'an, China, 2017.
- [C10] Jie Shi, Nanpeng Yu, and Weixin Yao, "Energy Efficient Building HVAC Control with Real-Time Occupancy Prediction," 8th International Conference on Sustainability in Energy and Buildings, pp. 1-10, Turin, Italy, 2016.
- [C8] Nanpeng Yu, Qi Zhu and Tianshu Wei, "From Passive Demand Response to Proactive Demand Participation," The eleventh annual IEEE International Conference on Automation Science and Engineering, pp. 1-7, Gothenburg, Sweden, August 2015.
Electricity Market
- [J20] Wei Wang, Amirali Abdolrashidi, Nanpeng Yu and Daniel Wong "Frequency Regulation Service Provision by Data Center," in press, Applied Energy, 2019.
- [J18] Yang Liu, Nanpeng Yu, Wei Wang, Xiaohong Guan, Zhanbo Xu, Bing Dong, and Ting Liu, "Coordinating the Operations of Smart Buildings in Smart Grids," , Applied Energy, vol. 228, pp. 2510-2525, 2018.
- [J14] Chaoyi Peng, Yunhe Hou, Nanpeng Yu, and Weisheng Wang, "Risk-limiting Unit Commitment in Smart Grid with Intelligent Periphery," to appear in IEEE Transactions on Power Systems, 2017.
- [J13] Wei Wang and Nanpeng Yu, "Chordal Conversion based Convex Iteration Algorithm for Three-phase Optimal Power Flow," to appear in IEEE Transactions on Power Systems, 2017.
- [J10] Chaoyi Peng, Yunhe Hou, Nanpeng Yu, Jie Yan, and Shunbo Lei, "Multi-Period Risk Limiting Dispatch with Flexible Resources," to appear in IEEE Transactions on Industrial Informatics, 2017.
- [J5] Mikhail A. Bragin, Peter B. Luh, Xu Han, and Nanpeng Yu, "On the Convergence of the Surrogate Optimization Method within the Lagrangian Relaxation Framework," Journal of Optimization Theory and Applications, pp. 173-201, 2015 .
- [J4] Nanpeng Yu, Leigh Tesfatsion, and Chen-Ching Liu, "Financial Bilateral Contract Negotiation in Wholesale Electricity Markets Using Nash Bargaining Theory," IEEE Transactions on Power Systems, Vol. 27, pp. 251-267, 2012.
- [J3] Nanpeng Yu, Chen-Ching Liu, and James Price, "Evaluation of Market Rules Using a Multi-Agent System Method," IEEE Transactions on Power Systems, Vol. 25, pp. 470-479, 2010.
- [J1] Nanpeng Yu, Chen-Ching Liu, and Leigh Tesfatsion, "Modeling of Suppliers Learning Behaviors in a Market Environment," International Journal of Engineering Intelligent Systems, Vol. 15, No. 2, pp. 115-121, 2007.
- [C28] Wei Wang and Nanpeng Yu, "A Machine Learning Framework for Algorithmic Trading with Virtual Bids in Electricity Markets," to appear in IEEE Power and Energy Society General Meeting, 2019.
- [C16] Wei Wang and Nanpeng Yu, "Phase Balancing in Power Distribution Network with Data Center," Greenmetrics, pp. 1-6, Urbana-Champaign, IL, 2017.
- [C11] Wei Wang and Nanpeng Yu, "LMP Decomposition with Three-Phase DCOPF for Distribution System," 2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), Melbourne, VIC, pp. 1-8, 2016.
- [C5] Mikhail A. Bragin, Peter B. Luh, Joseph H. Yan, Nanpeng Yu, Gary A. Stern, "Efficient Surrogate Optimization for Payment Cost Co-optimization with Transmission Capacity Constraints," in Proc. Power and Energy Society General Meeting, British Columbia, Canada, July 2013. Nominated for Best Paper Award in system operations and market economics.
- [C4] Mikhail A. Bragin, Peter B. Luh, Joseph H. Yan, Nanpeng Yu, Xu Han, and Gary A. Stern, "An Efficient Surrogate Subgradient Method within Lagrangian Relaxation for the Payment Cost Minimization Problem," IEEE Proceedings, Power and Energy Society General Meeting, San Diego, CA, July 2012.
- [C3] Xu Han, Peter B. Luh, Mikhail A. Bragin, Joseph H. Yan, Nanpeng Yu, and Gary A. Stern, "Solving Payment Cost Co-optimization Problems," IEEE Proceedings, Power and Energy Society General Meeting, San Diego, July 2012.
- [C2] Nanpeng Yu, Abhishek Somani, and Leigh Tesfatsion, "Financial Risk Management in Restructured Wholesale Power Markets: Concepts and Tools," IEEE Proceedings, Power and Energy Society General Meeting, Minneapolis, MN, pp. 1-8, July 2010.
Power System Opitmization and Asset Valuation
- [J9] Brandon Foggo and Nanpeng Yu, "Improved Battery Storage Valuation Through Degradation Reduction," IEEE Transactions on Smart Grid, Vol. 9, Issue. 6, pp. 5721-5732, 2018.
- [J8] Nanpeng Yu and Brandon Foggo, "Stochastic Valuation of Energy Storage in Wholesale Power Markets," Energy Economics, Vol. 64, pp. 177-185, May, 2017.
- [J2] Liu Yingshang, Wu Wenchuan, Feng Yongqing, Zhang Boming, and Nanpeng Yu, "Black-start Zone Partitioning Based on Ordered Binary Decision Diagram Method," Proceedings of the CSEE, Vol. 28, No. 10, pp. 26-31, 2008.
- [C26] Zhenhai Zhang, Jie Shi, Yuanqi Gao, and Nanpeng Yu, "Degradation-aware Operation and Optimal Sizing of Behind-the-meter Battery Systems for Commercial Customers," IEEE Power and Energy Society Grand International Conference and Exposition Asia, 2019.
- [C24] Yuanqi Gao, Peng Wang, and Nanpeng Yu, " A Decentralized Distribution Network Reconfiguration Algorithm," in the 8th China International Conference on Electricity Distribution, pp. 1-5, 2018.
- [C21] Peng Wang, Yuanqi Gao, Nanpeng Yu, Wei Ren, Jianming Lian, and Di Wu, " Communication-efficient Distributed Solutions to a System of Linear Equations with Laplacian Sparse Structure," submitted to CDC 2018.
- [C6] Nanpeng Yu, Hongyan Sheng, and Raymond Johnson, "Economic Valuation of Wind Curtailment Rights," IEEE Proceedings, Power and Energy Society General Meeting, Vancouver, British Columbia, Canada, July 2013. Nominated for Best Paper Award in system operations and market economics.
Water Energy Nexus
- [J16] Farzana Kabir, Nanpeng Yu, Weixin Yao, Longtao Wu, and Jonathan Jiang, "Impact of Aerosol on Reservoir Inflows: A Case Study for Big Creek Hydroelectric System in California," submitted to Environmental Research Letters, 2017.
- [J15] Longtao Wu, Yu Gu, Jonathan Jiang, Hui Su, and Nanpeng Yu, "Impacts of Aerosol on Seasonal Precipitation and Snowpack in California Based on Convective-resolving WRF-Chem Simulations," submitted to Environmental Research Letters, 2017.
- [J12] Longtao Wu, Hui Su, Olga Kalashnikova, Jonathan Jiang, Chun Zhao, Michael Garay, James Campbell, and Nanpeng Yu, "WRF-Chem Simulation of Aerosol Seasonal Variability in the San Joaquin Valley," Atmospheric Chemistry and Physics, vol. 17, pp. 7291-7309, 2017.
- [C27] Farzana Kabir, Nanpeng Yu, Balakrishna Sastry, and Vibhu Kaushik, "Impacts of Aerosols on Hydropower Generation: A Case Study for Big Creek Hydroelectric System in California," IEEE Power and Energy Society Grand International Conference and Exposition Asia, 2019.
Multi-Agent Based Modeling
- [J6] Mingguo Hong, Xiangyang Yu, Nanpeng Yu, and Kenneth Loparo, "An Energy Scheduling Algorithm Supporting Power Quality Management in Commercial Building Microgrids," IEEE Transactions on Smart Grid, pp. 1-13, 2015.
- [J3] Nanpeng Yu, Chen-Ching Liu, and James Price, "Evaluation of Market Rules Using a Multi-Agent System Method," IEEE Transactions on Power Systems, Vol. 25, pp. 470-479, 2010.
- [C1] Nanpeng Yu and Chen-Ching Liu, "Multi-Agent Systems and Electricity Markets: State-of-the-art and the Future," IEEE Proceedings, Power and Energy Society General Meeting, Conversion and Delivery of Electrical Energy in the 21st Century, Pittsburgh, PA, July 2008.
- [B1] Nanpeng Yu and Chen-Ching Liu, " Multi-Agent System Applications in Power Systems," book chapter in Volume III: Advanced Techniques and Technologies: Facts and A.I. Part Two: Artificial Intelligence Techniques, 2016.
IEEE copyright. The papers posted on this homepage are to ensure timely dissemination of scholarly and technical work. Copyright and all rights therin are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of the works published in IEEE publications in other works must be obtained from the IEEE. If you have any questions about this please contact the authors.