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2024

Journal Article

Robust autoregressive bidirectional gated recurrent units model for short-term power forecasting

Yang, Yang, Wang, Zijin, Zhao, Shangrui, Zhou, Hu and Wu, Jinran (2024). Robust autoregressive bidirectional gated recurrent units model for short-term power forecasting. Engineering Applications of Artificial Intelligence, 138 (Part B) 109453, 109453. doi: 10.1016/j.engappai.2024.109453

Robust autoregressive bidirectional gated recurrent units model for short-term power forecasting

2024

Journal Article

Solving the temporal lags in local significant wave height prediction with a new VMD-LSTM model

Zhang, Shaotong, Zhao, Zixi, Wu, Jinran, Jin, Yao, Jeng, Dong-Sheng, Li, Sanzhong, Li, Guangxue and Ding, Dong (2024). Solving the temporal lags in local significant wave height prediction with a new VMD-LSTM model. Ocean Engineering, 313 119385, 119385-313. doi: 10.1016/j.oceaneng.2024.119385

Solving the temporal lags in local significant wave height prediction with a new VMD-LSTM model

2024

Journal Article

Water resource forecasting with machine learning and deep learning: A scientometric analysis

Liu, Chanjuan, Xu, Jing, Li, Xi’an, Yu, Zhongyao and Wu, Jinran (2024). Water resource forecasting with machine learning and deep learning: A scientometric analysis. Artificial Intelligence in Geosciences, 5 100084, 100084-5. doi: 10.1016/j.aiig.2024.100084

Water resource forecasting with machine learning and deep learning: A scientometric analysis

2024

Journal Article

Analysis of fine-grained sediment dynamics from field observations with a vector autoregressive model

Zhao, Zixi, Zhang, Shaotong, Wu, Jinran, Qiao, Lulu, Li, Guangxue, Li, Hongyi and Li, Sanzhong (2024). Analysis of fine-grained sediment dynamics from field observations with a vector autoregressive model. Journal of Hydrology, 644 132100, 132100-644. doi: 10.1016/j.jhydrol.2024.132100

Analysis of fine-grained sediment dynamics from field observations with a vector autoregressive model

2024

Journal Article

Advancements in Q-learning meta-heuristic optimization algorithms: a survey

Yang, Yang, Gao, Yuchao, Ding, Zhe, Wu, Jinran, Zhang, Shaotong, Han, Feifei, Qiu, Xuelan, Gao, Shangce and Wang, You-Gan (2024). Advancements in Q-learning meta-heuristic optimization algorithms: a survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 14 (6) e1548. doi: 10.1002/widm.1548

Advancements in Q-learning meta-heuristic optimization algorithms: a survey

2024

Journal Article

Assessment and prediction of Water Quality Index (WQI) by seasonal key water parameters in a coastal city: application of machine learning models

Mo, Yuming, Xu, Jing, Liu, Chanjuan, Wu, Jinran and Chen, Dong (2024). Assessment and prediction of Water Quality Index (WQI) by seasonal key water parameters in a coastal city: application of machine learning models. Environmental Monitoring and Assessment, 196 (11) 1008. doi: 10.1007/s10661-024-13209-6

Assessment and prediction of Water Quality Index (WQI) by seasonal key water parameters in a coastal city: application of machine learning models

2024

Journal Article

Improving PID controller performance in nonlinear oscillatory automatic generation control systems using a multi-objective marine predator algorithm with enhanced diversity

Yang, Yang, Gao, Yuchao, Wu, Jinran, Ding, Zhe and Zhao, Shangrui (2024). Improving PID controller performance in nonlinear oscillatory automatic generation control systems using a multi-objective marine predator algorithm with enhanced diversity. Journal of Bionic Engineering, 21 (5), 2497-2514. doi: 10.1007/s42235-024-00548-w

Improving PID controller performance in nonlinear oscillatory automatic generation control systems using a multi-objective marine predator algorithm with enhanced diversity

2024

Journal Article

Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation

Liu, Siyuan, Deng, Jiaxin, Yuan, Jin, Li, Weide, Li, Xi'an, Xu, Jing, Zhang, Shaotong, Wu, Jinran and Wang, You-Gan (2024). Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation. Earth Science Informatics, 17 (6), 1-14. doi: 10.1007/s12145-024-01448-7

Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation

2024

Journal Article

Multiscale-integrated deep learning approaches for short-term load forecasting

Yang, Yang, Gao, Yuchao, Wang, Zijin, Li, Xi’an, Zhou, Hu and Wu, Jinran (2024). Multiscale-integrated deep learning approaches for short-term load forecasting. International Journal of Machine Learning and Cybernetics, 15 (12), 6061-6076. doi: 10.1007/s13042-024-02302-4

Multiscale-integrated deep learning approaches for short-term load forecasting

2024

Journal Article

Assessing and predicting water quality index with key water parameters by machine learning models in coastal cities, China

Xu, Jing, Mo, Yuming, Zhu, Senlin, Wu, Jinran, Jin, Guangqiu, Wang, You-Gan, Ji, Qingfeng and Li, Ling (2024). Assessing and predicting water quality index with key water parameters by machine learning models in coastal cities, China. Heliyon, 10 (13) e33695, 1-19. doi: 10.1016/j.heliyon.2024.e33695

Assessing and predicting water quality index with key water parameters by machine learning models in coastal cities, China

2024

Journal Article

Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting

Yang, Yang, Lou, Hao, Wang, Zijin and Wu, Jinran (2024). Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting. Applied Intelligence, 54 (17-18), 8745-8760. doi: 10.1007/s10489-024-05651-3

Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting

2024

Journal Article

Solving a class of multi-scale elliptic PDEs by Fourier-based mixed physics informed neural networks

Li, Xi'an, Wu, Jinran, Tai, Xin, Xu, Jianhua and Wang, You-Gan (2024). Solving a class of multi-scale elliptic PDEs by Fourier-based mixed physics informed neural networks. Journal of Computational Physics, 508 113012. doi: 10.1016/j.jcp.2024.113012

Solving a class of multi-scale elliptic PDEs by Fourier-based mixed physics informed neural networks

2024

Journal Article

An adaptive trimming approach to Bayesian additive regression trees

Cao, Taoyun, Wu, Jinran and Wang, You-Gan (2024). An adaptive trimming approach to Bayesian additive regression trees. Complex & Intelligent Systems, 10 (5), 1-19. doi: 10.1007/s40747-024-01516-x

An adaptive trimming approach to Bayesian additive regression trees

2024

Journal Article

Probabilistic sunspot predictions with a gated recurrent units-based combined model guided by pinball loss

Cui, Zhesen, Ding, Zhe, Xu, Jing, Zhang, Shaotong, Wu, Jinran and Lian, Wei (2024). Probabilistic sunspot predictions with a gated recurrent units-based combined model guided by pinball loss. Scientific Reports, 14 (1) 13601, 13601. doi: 10.1038/s41598-024-63878-z

Probabilistic sunspot predictions with a gated recurrent units-based combined model guided by pinball loss

2024

Journal Article

Item response theory models for polytomous multidimensional forced‐choice items to measure construct differentiation

Qiu, Xuelan, de la Torre, Jimmy, Wang, You‐Gan and Wu, Jinran (2024). Item response theory models for polytomous multidimensional forced‐choice items to measure construct differentiation. Educational Measurement: Issues and Practice, 43 (4), 157-168. doi: 10.1111/emip.12621

Item response theory models for polytomous multidimensional forced‐choice items to measure construct differentiation

2024

Journal Article

Augmented support vector regression with an autoregressive process via an iterative procedure

Wu, Jinran, Wang, You-Gan and Zhang, Hao (2024). Augmented support vector regression with an autoregressive process via an iterative procedure. Applied Soft Computing, 158 111549, 1-13. doi: 10.1016/j.asoc.2024.111549

Augmented support vector regression with an autoregressive process via an iterative procedure

2024

Journal Article

A survey on wind power forecasting with machine learning approaches

Yang, Yang, Lou, Hao, Wu, Jinran, Zhang, Shaotong and Gao, Shangce (2024). A survey on wind power forecasting with machine learning approaches. Neural Computing and Applications, 36 (21), 12753-12773. doi: 10.1007/s00521-024-09923-4

A survey on wind power forecasting with machine learning approaches

2024

Journal Article

Foreword: Machine learning in environmental modelling

Wang, You-Gan and Wu, Jinran (2024). Foreword: Machine learning in environmental modelling. Environmental Modeling and Assessment, 29 (3), 425-426. doi: 10.1007/s10666-024-09981-x

Foreword: Machine learning in environmental modelling

2024

Journal Article

Interaction between internal solitary waves and the seafloor in the deep sea

Tian, Zhuangcai, Huang, Jinjian, Xiang, Jiaming, Zhang, Shaotong, Wu, Jinran, Liu, Xiaolei, Luo, Tingting and Yue, Jianhua (2024). Interaction between internal solitary waves and the seafloor in the deep sea. Deep Underground Science and Engineering, 3 (2), 149-162. doi: 10.1002/dug2.12095

Interaction between internal solitary waves and the seafloor in the deep sea

2024

Journal Article

Optimization of suspended particulate transport parameters from measured concentration profiles with a new analytical model

Zhang, Shaotong, Zhao, Zixi, Wu, Jinran, Perrochet, Pierre, Wang, You-Gan, Li, Guangxue and Li, Sanzhong (2024). Optimization of suspended particulate transport parameters from measured concentration profiles with a new analytical model. Water Research, 254 121407, 121407. doi: 10.1016/j.watres.2024.121407

Optimization of suspended particulate transport parameters from measured concentration profiles with a new analytical model