| An ARMAX model for forecasting the power output of a grid connected photovoltaic system Y Li, Y Su, L Shu Renewable Energy 66, 78-89, 2014 | 402 | 2014 |
| Adaptive CUSUM procedures with EWMA-based shift estimators W Jiang, L Shu, DW Apley Iie Transactions 40 (10), 992-1003, 2008 | 182 | 2008 |
| Forecasting the daily power output of a grid-connected photovoltaic system based on multivariate adaptive regression splines Y Li, Y He, Y Su, L Shu Applied Energy 180, 392-401, 2016 | 166 | 2016 |
| One-day-ahead daily power forecasting of photovoltaic systems based on partial functional linear regression models G Wang, Y Su, L Shu Renewable Energy 96, 469-478, 2016 | 140 | 2016 |
| Wind turbine fault diagnosis based on transfer learning and convolutional autoencoder with small-scale data Y Li, W Jiang, G Zhang, L Shu Renewable Energy 171, 103-115, 2021 | 138 | 2021 |
| Real-time prediction models for output power and efficiency of grid-connected solar photovoltaic systems Y Su, LC Chan, L Shu, KL Tsui Applied energy 93, 319-326, 2012 | 131 | 2012 |
| A Markov chain model for the adaptive CUSUM control chart L Shu, W Jiang Journal of Quality Technology 38 (2), 135-147, 2006 | 130 | 2006 |
| A new EWMA chart for monitoring process dispersion L Shu, W Jiang Journal of Quality Technology 40 (3), 319-331, 2008 | 108 | 2008 |
| Experimental study of using phase change material cooling in a solar tracking concentrated photovoltaic-thermal system Y Su, Y Zhang, L Shu Solar Energy 159, 777-785, 2018 | 95 | 2018 |
| Wind turbine fault diagnosis based on Gaussian process classifiers applied to operational data Y Li, S Liu, L Shu Renewable Energy 134, 357-366, 2019 | 90 | 2019 |
| A one-sided EWMA control chart for monitoring process means L Shu, W Jiang, S Wu Communications in Statistics—Simulation and Computation® 36 (4), 901-920, 2007 | 88 | 2007 |
| Run-length performance of regression control charts with estimated parameters L Shu, F Tsung, KL Tsui Journal of Quality Technology 36 (3), 280-292, 2004 | 84 | 2004 |
| Autocorrelated process monitoring using triggered cuscore charts L Shu, DW Apley, F Tsung Quality and Reliability Engineering International 18 (5), 411-421, 2002 | 82 | 2002 |
| An np control chart for monitoring the mean of a variable based on an attribute inspection Z Wu, MBC Khoo, L Shu, W Jiang International Journal of Production Economics 121 (1), 141-147, 2009 | 75 | 2009 |
| An adaptive exponentially weighted moving average control chart for monitoring process variances L Shu Journal of Statistical Computation and Simulation 78 (4), 367-384, 2008 | 68 | 2008 |
| Effects of estimation errors on cause-selecting charts L Shu, F Tsung, KL Tsui IIE transactions 37 (6), 559-567, 2005 | 67 | 2005 |
| A weighted CUSUM chart for detecting patterned mean shifts L Shu, W Jiang, KL Tsui Journal of Quality Technology 40 (2), 194-213, 2008 | 54 | 2008 |
| On multistage statistical process control L Shu, F Tsung Journal of the Chinese Institute of Industrial Engineers 20 (1), 1-8, 2003 | 52 | 2003 |
| Design of multiple cause-selecting charts for multistage processes with model uncertainty L Shu, F Tsung, KC Kapur Quality Engineering 16 (3), 437-450, 2004 | 51 | 2004 |
| Adaptive CUSUM procedures with Markovian mean estimation L Shu, W Jiang, Z Wu Computational Statistics & Data Analysis 52 (9), 4395-4409, 2008 | 48 | 2008 |
Yan SuUniversity of Macau, PhD of University of MinnesotaVerificeret mail på um.edu.mo
