| 1 |
Dynamic error testing method of electricity meters by a pseudo random distorted test signal
Wang XW, Wang J, Yuan RM, Jiang ZY
Applied Energy, 249, 67, 2019 |
| 2 |
Reconstruction of undersampled atomic force microscope images using block-based compressive sensing
Han GQ, Niu YX, Zou Y, Lin B
Applied Surface Science, 484, 797, 2019 |
| 3 |
Blind identification of fully observed linear time-varying systems via sparse recovery
Dobbe R, Liu S, Yuan Y, Tomlin C
Automatica, 100, 330, 2019 |
| 4 |
Camera enhanced compressive light beam induced current sensing for efficient defect detection in photovoltaic cells
Quan L, Xie K, Liu Y, Zhang HL
Solar Energy, 183, 212, 2019 |
| 5 |
Sparse voltage amplitude measurement based fault location in large-scale photovoltaic power plants
Jia K, Gu CJ, Li L, Xuan ZW, Bi TS, Thomas D
Applied Energy, 211, 568, 2018 |
| 6 |
Compressive sparse principal component analysis for process supervisory monitoring and fault detection
Liu Y, Zhang GS, Xu BY
Journal of Process Control, 50, 1, 2017 |
| 7 |
Compressive light beam induced current sensing for fast defect detection in photovoltaic cells
Quan L, Xie K, Xi RY, Liu Y
Solar Energy, 150, 345, 2017 |
| 8 |
Exploiting sparsity of interconnections in spatio-temporal wind speed forecasting using Wavelet Transform
Tascikaraoglu A, Sanandaji BM, Poolla K, Varaiya P
Applied Energy, 165, 735, 2016 |
| 9 |
Short-term residential electric load forecasting: A compressive spatio-temporal approach
Tascikaraoglu A, Sanandaji BM
Energy and Buildings, 111, 380, 2016 |
| 10 |
Compressive sensing for particle size retrieval by using a digital micro-mirror device-based detector
Zhou JY, Cao Z, Xie H, Xu LJ
Powder Technology, 304, 27, 2016 |
