Jiafan Yu
Jiafan Yu
Graduate student of Electrical Engineering, Stanford University
Verified email at stanford.edu - Homepage
TitleCited byYear
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), 113119, 2011
662011
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, 11143, 2016
422016
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
182017
Regularization in hierarchical time series forecasting with application to electricity smart meter data
SB Taieb, J Yu, MN Barreto, R Rajagopal
Thirty-First AAAI Conference on Artificial Intelligence, 2017
102017
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), 013902, 2015
102015
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
82018
Mapping rule estimation for power flow analysis in distribution grids
J Yu, Y Weng, R Rajagopal
arXiv preprint arXiv:1702.07948, 2017
62017
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
52015
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
32018
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
32011
Applied timeseries transfer learning
N Laptev, J Yu, R Rajagopal
22018
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
22018
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
22017
Driving Behavior Improvement and Driver Recognition Based on Real-Time Driving Information
K Nie, L Wu, J Yu
technical report in CS229 Project, Stanford university, 2013
22013
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
12018
DEEPCAST: UNIVERSAL TIME-SERIES FORECASTER
N Laptev, J Yu, R Rajagopal
12018
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
12017
On certainty equivalence of demand charge reduction using storage
J Yu, J Qin, R Rajagopal
2017 American Control Conference (ACC), 3430-3437, 2017
12017
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
2019
The heterogeneity of thermal sensitivity of residential electricity load between China and USA
J Yu, Y Zhou, M Tabone, Q Gao, CW Tan, S Kiliccote, L Wu, R Rajagopal
Proceedings of the 4th ACM International Conference on Systems for Energy …, 2017
2017
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