| DeepSolar: A machine learning framework to efficiently construct a solar deployment database in the United States J Yu, Z Wang, A Majumdar, R Rajagopal Joule 2 (12), 2605-2617, 2018 | 321 | 2018 |
| PaToPa: A Data-Driven Parameter and Topology Joint Estimation Framework in Distribution Grids J Yu, Y Weng, R Rajagopal IEEE Transactions on Power Systems, 2017 | 217 | 2017 |
| The formation mechanism for printed silver-contacts for silicon solar cells JD Fields, MI Ahmad, VL Pool, J Yu, DG Van Campen, PA Parilla, ... Nature communications 7 (1), 11143, 2016 | 148 | 2016 |
| PaToPaEM: A Data-Driven Parameter and Topology Joint Estimation Framework for Time Varying System in Distribution Grids J Yu, Y Weng, R Rajagopal IEEE Transactions on Power Systems, 2019 | 118 | 2019 |
| Plasmonic core-shell gold nanoparticle enhanced optical absorption in photovoltaic devices D Qu, F Liu, J Yu, W Xie, Q Xu, X Li, Y Huang Applied Physics Letters 98 (11), 2011 | 88 | 2011 |
| Robust mapping rule estimation for power flow analysis in distribution grids J Yu, Y Weng, R Rajagopal 2017 North American Power Symposium (NAPS), 1-6, 2017 | 79 | 2017 |
| Reconstruction and Regression Loss for Time-Series Transfer Learning N Laptev, J Yu, R Rajagopal KDD 18, 4TH WORKSHOP ON MINING AND LEARNING FROM TIME SERIES, 2018 | 47 | 2018 |
| Regularization in hierarchical time series forecasting with application to electricity smart meter data SB Taieb, J Yu, M Barreto, R Rajagopal Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 43 | 2017 |
| Probabilistic baseline estimation based on load patterns for better residential customer rewards Y Weng, J Yu, R Rajagopal International Journal of Electrical Power & Energy Systems 100, 508-516, 2018 | 39 | 2018 |
| Rapid thermal processing chamber for in-situ x-ray diffraction MI Ahmad, DG Van Campen, JD Fields, J Yu, VL Pool, PA Parilla, ... Review of Scientific Instruments 86 (1), 2015 | 20 | 2015 |
| Vader: Visualization and analytics for distributed energy resources RA Sevlian, J Yu, Y Liao, X Chen, Y Weng, EC Kara, M Tabone, S Badri, ... arXiv preprint arXiv:1708.09473, 2017 | 16 | 2017 |
| Probabilistic estimation of the potentials of intervention-based demand side energy management J Yu, Y Weng, CW Tan, R Rajagopal 2015 IEEE International Conference on Smart Grid Communications …, 2015 | 14 | 2015 |
| Data-driven joint topology and line parameter estimation for renewable integration J Yu, Y Weng, R Rajagopal 2017 IEEE Power & Energy Society General Meeting, 1-5, 2017 | 13 | 2017 |
| On certainty equivalence of demand charge reduction using storage J Yu, J Qin, R Rajagopal 2017 American Control Conference (ACC), 3430-3437, 2017 | 13 | 2017 |
| DeepSolar: A Machine Learning Framework to Efficiently Construct a Solar Deployment Database in the United States, Joule, 2, 2605–2617 J Yu, Z Wang, A Majumdar, R Rajagopal | 10 | 2018 |
| DeepSolar: A Machine Learning Framework to Efficiently Construct a Solar Deployment Database in the United States. Joule 2018; 2: 2605–17 J Yu, Z Wang, A Majumdar, R Rajagopal | 8 | |
| Applied timeseries transfer learning N Laptev, J Yu, R Rajagopal | 6 | 2018 |
| Plasmonic core-shell nanoparticle enhanced optical absorption in thin film organic solar cells D Qu, F Liu, X Pan, J Yu, X Li, W Xie, Q Xu, Y Huang 2011 37th IEEE Photovoltaic Specialists Conference, 000924-000928, 2011 | 6 | 2011 |
| Performance guaranteed state estimation for renewable penetration with improved meters Y Weng, J Yu, R Rajagopal The Journal of Engineering 2018 (6), 323-331, 2018 | 4 | 2018 |
| Deepcast: Universal Time-Series Forecaster N Laptev, J Yu, R Rajagopal | 2 | 2018 |
Ram RajagopalAssociate Professor, Stanford UniversityVerified email at stanford.edu
