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2021 Journal Article Support vector regression with asymmetric loss for optimal electric load forecastingWu, 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 |
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2021 Journal Article A cloud endpoint coordinating CAPTCHA based on multi-view stacking ensembleOuyang, 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 |
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2021 Journal Article A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretabilityZhang, 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 |
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2021 Journal Article Influential factors on Chinese airlines’ profitability and forecasting methodsXu, 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 |
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2021 Journal Article A hybrid rolling grey framework for short time series modellingCui, 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 |
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2020 Conference Publication Improved Whale Optimization Algorithm via Cellular AutomataGao, Yuchao, Qian, Cheng, Tao, Zhenghang, Zhou, Hu, Wu, Jinran and Yang, Yang (2020). Improved Whale Optimization Algorithm via Cellular Automata. 2020 IEEE International Conference on Progress in Informatics and Computing (PIC), Shanghai, China, 18-20 December 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/pic50277.2020.9350796 |
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2020 Conference Publication A robust decomposition-ensemble framework for wind speed forecastingZhang, Bingquan, Yang, Yang, Zhao, Dengli and Wu, Jinran (2020). A robust decomposition-ensemble framework for wind speed forecasting. 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV), Shenzhen, China, 13-15 December 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icarcv50220.2020.9305351 |
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2020 Conference Publication Modified Slime Mould Algorithm via Levy FlightCui, Zhesen, Hou, Xiaolei, Zhou, Hu, Lian, Wei and Wu, Jinran (2020). Modified Slime Mould Algorithm via Levy Flight. 2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Chengdu, China, 17-19 October 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/cisp-bmei51763.2020.9263669 |
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2020 Journal Article Multi-horizon accommodation demand forecasting: a New Zealand case studyZhu, 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 |
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2020 Journal Article Identifying barley pan-genome sequence anchors using genetic mapping and machine learningGao, 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 |
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2020 Journal Article Adaptive resilient control of a class of nonlinear systems based on event-triggered mechanismYang, 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 |
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2020 Journal Article An improved firefly algorithm for global continuous optimization problemsWu, 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 |
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2020 Book Chapter Improved Grey Model by Dragonfly Algorithm for Chinese Tourism Demand ForecastingWu, Jinran and Ding, Zhe (2020). Improved Grey Model by Dragonfly Algorithm for Chinese Tourism Demand Forecasting. Lecture Notes in Computer Science. (pp. 199-209) Cham: Springer International Publishing. doi: 10.1007/978-3-030-55789-8_18 |
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2019 Journal Article A new hybrid model to predict the electrical load in five states of AustraliaWu, 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 |
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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 forecastingLi, 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 |
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2017 Journal Article A New Hybrid Model FPA-SVM Considering Cointegration for Particular Matter Concentration Forecasting: A Case Study of Kunming and Yuxi, ChinaLi, 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 |
