| Determining maximum hosting capacity for PV systems in distribution grids J Yuan, Y Weng, CW Tan International Journal of Electrical Power & Energy Systems 135, 107342, 2022 | 47 | 2022 |
| Spatial-temporal deep learning for hosting capacity analysis in distribution grids J Wu, J Yuan, Y Weng, R Ayyanar IEEE Transactions on Smart Grid 14 (1), 354-364, 2022 | 29 | 2022 |
| Support matrix regression for learning power flow in distribution grid with unobservability J Yuan, Y Weng IEEE Transactions on Power Systems 37 (2), 1151-1161, 2021 | 26 | 2021 |
| Physics interpretable shallow-deep neural networks for physical system identification with unobservability J Yuan, Y Weng 2021 IEEE International Conference on Data Mining (ICDM), 847-856, 2021 | 14 | 2021 |
| Adversarial twin neural networks: maximizing physics recovery for physical system H Li, E Blasch, J Yuan, Y Weng | 7 | 2022 |
| Enhance unobservable solar generation estimation via constructive generative adversarial networks J Yuan, Y Weng IEEE Transactions on Power Systems 39 (1), 2251-2263, 2023 | 6 | 2023 |
| Quantifying hosting capacity for rooftop PV system in LV distribution grids J Yuan, Y Weng, CW Tan arXiv preprint arXiv:1909.00864, 2019 | 5 | 2019 |
| Learning EV placement factors with social welfare and economic variation modeling J Yuan, Q Cui, Z Ma, Y Weng 2019 North American Power Symposium (NAPS), 1-6, 2019 | 4 | 2019 |
| Invertible Neural Network for Consistent State Estimation in Distribution Grid with Unobservability J Yuan, Y Weng 2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023 | 2 | 2023 |
| Intrinsic-Motivated Sensor Management: Exploring with Physical Surprise J Yuan, Y Weng, E Blasch Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 2 | 2022 |
| DipDNN: Preserving Inverse Consistency and Approximation Efficiency for Invertible Learning J Yuan, Y Weng, E Blasch Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 1 | 2024 |
| Learn Dynamic Hosting Capacity Based on Voltage Sensitivity Analysis J Wu, J Yuan, Y Weng, R Ayyanar 2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023 | 1 | 2023 |
| Physically Invertible System Identification for Monitoring System Edges with Unobservability J Yuan, Y Weng Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 1 | 2022 |
| Hosting Capacity for Renewable Generations in Distribution Grids J Yuan Arizona State University, 2018 | 1 | 2018 |
| A Unified Approach to Enforce Non-Negativity Constraint in Neural Network Approximation for Optimal Voltage Regulation J Wu, J Yuan, Y Weng, G Wang | | 2025 |
| Enhancing grid reliability and resilience through novel DER control, total situational awareness and integrated distribution-transmission representation R Ayyanar, V Vittal, Y Weng, Q Lei, B Yang, M Govindarasu, D Srinivasan, ... Arizona State Univ., Tempe, AZ (United States), 2024 | | 2024 |
| MetaInv: Overcoming Iterative and Direct Method Limitations for Inverse Learning J Yuan, M Guo, Y Weng | | |
| DipDNN: Decomposed Invertible Pathway Deep Neural Networks J Yuan, Y Weng, E Blasch | | |
| WHAT TO DO IF SPARSE REPRESENTATION LEARNING FAILS UNEXPECTEDLY? J Yuan, H Li, E Blasch, Y Weng | | |
