| 1 |
Sequential grid approach based support vector regression for short-term electric load forecasting
Yang YL, Che JX, Deng CZ, Li L
Applied Energy, 238, 1010, 2019 |
| 2 |
Discovery of novel indoleaminopyrimidine NIK inhibitors based on molecular docking-based support vector regression (SVR) model
Ye Q, Li Q, Gao AH, Ying HZ, Cheng G, Chen J, Che JX, Li J, Dong XW, Zhou YB
Chemical Physics Letters, 718, 38, 2019 |
| 3 |
Subsampled support vector regression ensemble for short term electric load forecasting
Li YY, Che JX, Yang YL
Energy, 164, 160, 2018 |
| 4 |
An incremental electric load forecasting model based on support vector regression
Yang YL, Che JX, Li YY, Zhao YJ, Zhu SL
Energy, 113, 796, 2016 |
| 5 |
Production of pinoresinol diglucoside, pinoresinol monoglucoside, and pinoresinol by Phomopsis sp XP-8 using mung bean and its major components
Zhang Y, Shi JL, Gao ZH, Yangwu RM, Jiang HS, Che JX, Liu YL
Applied Microbiology and Biotechnology, 99(11), 4629, 2015 |
| 6 |
Short-term load forecasting using a kernel-based support vector regression combination model
Che JX, Wang JZ
Applied Energy, 132, 602, 2014 |
| 7 |
An adaptive fuzzy combination model based on self-organizing map and support vector regression for electric load forecasting
Che JX, Wang JZ, Wang GF
Energy, 37(1), 657, 2012 |
| 8 |
Pyroelectric properties of a ferroelectric superlattice with surface transition layers
Cui L, Xu Q, Xu X, Li YC, He ZL, Che JX, Lu TQ
Journal of Materials Science, 47(4), 1780, 2012 |
| 9 |
Short-term electricity prices forecasting based on support vector regression and Auto-regressive integrated moving average modeling
Che JX, Wang JZ
Energy Conversion and Management, 51(10), 1911, 2010 |
