An improved firefly algorithm for global continuous optimization problems J Wu, YG Wang, K Burrage, YC Tian, B Lawson, Z Ding Expert Systems with Applications 149, 113340, 2020 | 101 | 2020 |
A new hybrid model to predict the electrical load in five states of Australia J Wu, Z Cui, Y Chen, D Kong, YG Wang Energy 166, 598-609, 2019 | 62 | 2019 |
Support vector regression with asymmetric loss for optimal electric load forecasting J Wu, YG Wang, YC Tian, K Burrage, T Cao Energy 223, 119969, 2021 | 45 | 2021 |
A novel hybrid model based on extreme learning machine, k-nearest neighbor regression and wavelet denoising applied to short-term electric load forecasting W Li, D Kong, J Wu Energies 10 (5), 694, 2017 | 34 | 2017 |
A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability S Zhang, J Wu, Y Jia, YG Wang, Y Zhang, Q Duan Engineering Applications of Artificial Intelligence 100, 104206, 2021 | 25 | 2021 |
A new hybrid model FPA-SVM considering cointegration for particular matter concentration forecasting: a case study of Kunming and Yuxi, China W Li, D Kong, J Wu Computational intelligence and neuroscience 2017, 2017 | 24 | 2017 |
A hybrid robust system considering outliers for electric load series forecasting Y Yang, Z Tao, C Qian, Y Gao, H Zhou, Z Ding, J Wu Applied Intelligence, 1-23, 2022 | 15 | 2022 |
An effective dimensionality reduction approach for short-term load forecasting Y Yang, Z Wang, Y Gao, J Wu, S Zhao, Z Ding Electric Power Systems Research 210, 108150, 2022 | 13 | 2022 |
An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems Y Yang, Y Gao, S Tan, S Zhao, J Wu, S Gao, T Zhang, YC Tian, YG Wang Engineering Applications of Artificial Intelligence, 2022 | 12 | 2022 |
Modified slime mould algorithm via levy flight Z Cui, X Hou, H Zhou, W Lian, J Wu 2020 13th international congress on image and signal processing, biomedical …, 2020 | 11 | 2020 |
Robustified extreme learning machine regression with applications in outlier-blended wind-speed forecasting Y Yang, H Zhou, J Wu, Z Ding, YG Wang Applied Soft Computing 122, 108814, 2022 | 10 | 2022 |
Multi‐horizon accommodation demand forecasting: A New Zealand case study M Zhu, J Wu, YG Wang International Journal of Tourism Research 23 (3), 442-453, 2021 | 10 | 2021 |
A hybrid rolling grey framework for short time series modelling Z Cui, J Wu, Z Ding, Q Duan, W Lian, Y Yang, T Cao Neural Computing and Applications, 1-15, 2021 | 10 | 2021 |
A working likelihood approach to support vector regression with a data-driven insensitivity parameter J Wu, YG Wang International Journal of Machine Learning and Cybernetics, 1-17, 2022 | 8 | 2022 |
A physics-informed statistical learning framework for forecasting local suspended sediment concentrations in marine environment S Zhang, J Wu, YG Wang, DS Jeng, G Li Water Research 218, 118518, 2022 | 8 | 2022 |
Improved grey model by dragonfly algorithm for Chinese tourism demand forecasting J Wu, Z Ding International Conference on Industrial, Engineering and Other Applications …, 2020 | 8 | 2020 |
A statistical learning framework for spatial-temporal feature selection and application to air quality index forecasting Z Zhao, J Wu, F Cai, S Zhang, YG Wang Ecological Indicators 144, 109416, 2022 | 7 | 2022 |
Identifying barley pan-genome sequence anchors using genetic mapping and machine learning S Gao, J Wu, J Stiller, Z Zheng, M Zhou, YG Wang, C Liu Theoretical and Applied Genetics 133, 2535-2544, 2020 | 7 | 2020 |
Adaptive resilient control of a class of nonlinear systems based on event-triggered mechanism Y Yang, J Ge, D Yue, Q Meng, J Wu Neurocomputing 403, 304-313, 2020 | 7 | 2020 |
An efficient DBSCAN optimized by arithmetic optimization algorithm with opposition-based learning Y Yang, C Qian, H Li, Y Gao, J Wu, CJ Liu, S Zhao The Journal of Supercomputing 78 (18), 19566-19604, 2022 | 6 | 2022 |