| Phase identification in electric power distribution systems by clustering of smart meter data W Wang, N Yu, B Foggo, J Davis, J Li 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016 | 119 | 2016 |
| A model for commercial adoption of photovoltaic systems in California W Wang, N Yu, R Johnson Journal of Renewable and Sustainable Energy 9 (2), 2017 | 40 | 2017 |
| Estimate three-phase distribution line parameters with physics-informed graphical learning method W Wang, N Yu IEEE Transactions on Power Systems 37 (5), 3577-3591, 2021 | 31 | 2021 |
| Advanced metering infrastructure data driven phase identification in smart grid W Wang, N Yu | 30 | 2017 |
| Maximum marginal likelihood estimation of phase connections in power distribution systems W Wang, N Yu IEEE Transactions on Power Systems 35 (5), 3906-3917, 2020 | 28 | 2020 |
| Deep reinforcement learning-based two-timescale Volt-VAR control with degradation-aware smart inverters in power distribution systems F Kabir, N Yu, Y Gao, W Wang Applied Energy 335, 120629, 2023 | 21 | 2023 |
| Parameter Estimation in Three-Phase Power Distribution Networks Using Smart Meter Data W Wang, N Yu 2020 International Conference on Probabilistic Methods Applied to Power …, 2020 | 16 | 2020 |
| Diversity Factor Prediction for Distribution Feeders with Interpretable Machine Learning Algorithms W Wang, N Yu, J Shi, N Navarro 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 9 | 2020 |
| Where to install distribution phasor measurement units to obtain accurate state estimation results? W Wang, N Yu, F Rahmatian, S Pandey 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | 5 | 2022 |
| Distribution System Behind-the-Meter DERs: Estimation, Uncertainty Quantification, and Control A Srivastava, J Zhao, H Zhu, F Ding, S Lei, I Zografopoulos, R Haider, ... IEEE Transactions on Power Systems, 2024 | 3 | 2024 |
| Behind-the-Meter Resources: Data-driven modeling, monitoring, and control N Yu, W Wang, R Johnson IEEE Electrification Magazine 10 (4), 20-28, 2022 | 2 | 2022 |
| Prediction of Electric Vehicle Penetration and Its Impacts on Distribution Systems: A Real-World Case Study in Maryland W Wang, Z Ye, N Yu, PC Chen 2024 IEEE Conference on Technologies for Sustainability (SusTech), 390-396, 2024 | 1 | 2024 |
| Fast graphical learning method for parameter estimation in large-scale distribution networks W Wang, N Yu, Y Zhao 2022 IEEE International Conference on Communications, Control, and Computing …, 2022 | 1 | 2022 |
| Predicting COVID-19 Transmission in Southern California with Machine Learning Methods H Li, R Wei, W Wang, N Yu 2024 9th International Conference on Big Data Analytics (ICBDA), 1-10, 2024 | | 2024 |
| Predict Locational Marginal Greenhouse Gas Emission Factors of Electricity with Spatial-Temporal Graph Convolutional Networks W Wang, Y Li, N Yu 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), 1-6, 2023 | | 2023 |
| Estimation of the Topology, Parameters, and Distributed Energy Resources in Power Distribution Systems W Wang University of California, Riverside, 2021 | | 2021 |
| 2024 the 9th International Conference on Big Data Analytics (ICBDA 2024) H Li, R Wei, W Wang, N Yu | | |
Nanpeng YuUniversity of California, RiversideVerified email at ece.ucr.edu
