Skip to menu Skip to content Skip to footer

2022

Journal Article

Optimal battery capacity in electrical load scheduling

Duan, Qibin, Wu, Jinran and Wang, You-Gan (2022). Optimal battery capacity in electrical load scheduling. Journal of Energy Storage, 50 104190, 1-9. doi: 10.1016/j.est.2022.104190

Optimal battery capacity in electrical load scheduling

2022

Journal Article

Event-triggered output feedback containment control for a class of stochastic nonlinear multi-agent systems

Yang, Yang, Xi, Xiaorui, Miao, Songtao and Wu, Jinran (2022). Event-triggered output feedback containment control for a class of stochastic nonlinear multi-agent systems. Applied Mathematics and Computation, 418 126817, 126817. doi: 10.1016/j.amc.2021.126817

Event-triggered output feedback containment control for a class of stochastic nonlinear multi-agent systems

2022

Journal Article

A modified memetic algorithm with an application to gene selection in a sheep body weight study

Miao, Maoxuan, Wu, Jinran, Cai, Fengjing and Wang, You-Gan (2022). A modified memetic algorithm with an application to gene selection in a sheep body weight study. Animals, 12 (2) 201, 1-15. doi: 10.3390/ani12020201

A modified memetic algorithm with an application to gene selection in a sheep body weight study

2021

Journal Article

Long-Range Dependence and Multifractality of Ship Flow Sequences in Container Ports: A Comparison of Shanghai, Singapore, and Rotterdam

Liu, Chan-Juan, Wu, Jinran, Jayetileke, Harshanie Lakshika and Hu, Zhi-Hua (2021). Long-Range Dependence and Multifractality of Ship Flow Sequences in Container Ports: A Comparison of Shanghai, Singapore, and Rotterdam. Applied Sciences, 11 (21), 10378-21. doi: 10.3390/app112110378

Long-Range Dependence and Multifractality of Ship Flow Sequences in Container Ports: A Comparison of Shanghai, Singapore, and Rotterdam

2021

Journal Article

State consensus cooperative control for a class of nonlinear multi-agent systems with output constraints via ADP approach

Yang, Yang, Fan, Xin, Xu, Chuang, Wu, Jinran and Sun, Baohua (2021). State consensus cooperative control for a class of nonlinear multi-agent systems with output constraints via ADP approach. Neurocomputing, 458, 284-296. doi: 10.1016/j.neucom.2021.05.046

State consensus cooperative control for a class of nonlinear multi-agent systems with output constraints via ADP approach

2021

Journal Article

Robust penalized extreme learning machine regression with applications in wind speed forecasting

Yang, Yang, Zhou, Hu, Gao, Yuchao, Wu, Jinran, Wang, You-Gan and Fu, Liya (2021). Robust penalized extreme learning machine regression with applications in wind speed forecasting. Neural Computing and Applications, 34 (1), 391-407. doi: 10.1007/s00521-021-06370-3

Robust penalized extreme learning machine regression with applications in wind speed forecasting

2021

Journal Article

A hybrid robust system considering outliers for electric load series forecasting

Yang, Yang, Tao, Zhenghang, Qian, Chen, Gao, Yuchao, Zhou, Hu, Ding, Zhe and Wu, Jinran (2021). A hybrid robust system considering outliers for electric load series forecasting. Applied Intelligence, 52 (2), 1630-1652. doi: 10.1007/s10489-021-02473-5

A hybrid robust system considering outliers for electric load series forecasting

2021

Journal Article

Support vector regression with asymmetric loss for optimal electric load forecasting

Wu, Jinran, Wang, You-Gan, Tian, Yu-Chu, Burrage, Kevin and Cao, Taoyun (2021). Support vector regression with asymmetric loss for optimal electric load forecasting. Energy, 223 119969, 1-12. doi: 10.1016/j.energy.2021.119969

Support vector regression with asymmetric loss for optimal electric load forecasting

2021

Journal Article

A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability

Zhang, Shaotong, Wu, Jinran, Jia, Yonggang, Wang, You-Gan, Zhang, Yaqi and Duan, Qibin (2021). A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability. Engineering Applications of Artificial Intelligence, 100 104206, 1-13. doi: 10.1016/j.engappai.2021.104206

A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability

2021

Journal Article

A cloud endpoint coordinating CAPTCHA based on multi-view stacking ensemble

Ouyang, Zhiyou, Zhai, Xu, Wu, Jinran, Yang, Jian, Yue, Dong, Dou, Chunxia and Zhang, Tengfei (2021). A cloud endpoint coordinating CAPTCHA based on multi-view stacking ensemble. Computers & Security, 103 102178, 1-17. doi: 10.1016/j.cose.2021.102178

A cloud endpoint coordinating CAPTCHA based on multi-view stacking ensemble

2021

Journal Article

Influential factors on Chinese airlines’ profitability and forecasting methods

Xu, Xu, McGrory, Clare Anne, Wang, You-Gan and Wu, Jinran (2021). Influential factors on Chinese airlines’ profitability and forecasting methods. Journal of Air Transport Management, 91 101969, 1-8. doi: 10.1016/j.jairtraman.2020.101969

Influential factors on Chinese airlines’ profitability and forecasting methods

2021

Journal Article

A hybrid rolling grey framework for short time series modelling

Cui, Zhesen, Wu, Jinran, Ding, Zhe, Duan, Qibin, Lian, Wei, Yang, Yang and Cao, Taoyun (2021). A hybrid rolling grey framework for short time series modelling. Neural Computing and Applications, 33 (17), 11339-11353. doi: 10.1007/s00521-020-05658-0

A hybrid rolling grey framework for short time series modelling

2020

Journal Article

Multi-horizon accommodation demand forecasting: a New Zealand case study

Zhu, Min, Wu, Jinran and Wang, You-Gan (2020). Multi-horizon accommodation demand forecasting: a New Zealand case study. International Journal of Tourism Research, 23 (3), 442-453. doi: 10.1002/jtr.2416

Multi-horizon accommodation demand forecasting: a New Zealand case study

2020

Journal Article

Identifying barley pan-genome sequence anchors using genetic mapping and machine learning

Gao, Shang, Wu, Jinran, Stiller, Jiri, Zheng, Zhi, Zhou, Meixue, Wang, You-Gan and Liu, Chunji (2020). Identifying barley pan-genome sequence anchors using genetic mapping and machine learning. Theoretical and Applied Genetics, 133 (9), 2535-2544. doi: 10.1007/s00122-020-03615-y

Identifying barley pan-genome sequence anchors using genetic mapping and machine learning

2020

Journal Article

Adaptive resilient control of a class of nonlinear systems based on event-triggered mechanism

Yang, Yang, Ge, Jingzhi, Yue, Dong, Meng, Qing and Wu, Jinran (2020). Adaptive resilient control of a class of nonlinear systems based on event-triggered mechanism. Neurocomputing, 403, 304-313. doi: 10.1016/j.neucom.2020.04.061

Adaptive resilient control of a class of nonlinear systems based on event-triggered mechanism

2020

Journal Article

An improved firefly algorithm for global continuous optimization problems

Wu, Jinran, Wang, You-Gan, Burrage, Kevin, Tian, Yu-Chu, Lawson, Brodie and Ding, Zhe (2020). An improved firefly algorithm for global continuous optimization problems. Expert Systems with Applications, 149 113340, 1-12. doi: 10.1016/j.eswa.2020.113340

An improved firefly algorithm for global continuous optimization problems

2019

Journal Article

A new hybrid model to predict the electrical load in five states of Australia

Wu, Jinran, Cui, Zhesen, Chen, Yanyan, Kong, Demeng and Wang, You-Gan (2019). A new hybrid model to predict the electrical load in five states of Australia. Energy, 166, 598-609. doi: 10.1016/j.energy.2018.10.076

A new hybrid model to predict the electrical load in five states of Australia

2017

Journal Article

A novel hybrid model based on extreme learning machine, k-nearest neighbor regression and wavelet denoising applied to short-term electric load forecasting

Li, Weide, Kong, Demeng and Wu, Jinran (2017). A novel hybrid model based on extreme learning machine, k-nearest neighbor regression and wavelet denoising applied to short-term electric load forecasting. Energies, 10 (5) 694, 1-16. doi: 10.3390/en10050694

A novel hybrid model based on extreme learning machine, k-nearest neighbor regression and wavelet denoising applied to short-term electric load forecasting

2017

Journal Article

A New Hybrid Model FPA-SVM Considering Cointegration for Particular Matter Concentration Forecasting: A Case Study of Kunming and Yuxi, China

Li, Weide, Kong, Demeng and Wu, Jinran (2017). A New Hybrid Model FPA-SVM Considering Cointegration for Particular Matter Concentration Forecasting: A Case Study of Kunming and Yuxi, China. Computational Intelligence and Neuroscience, 2017 2843651, 1-11. doi: 10.1155/2017/2843651

A New Hybrid Model FPA-SVM Considering Cointegration for Particular Matter Concentration Forecasting: A Case Study of Kunming and Yuxi, China