jinran wu
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Improved grey model by dragonfly algorithm for Chinese tourism demand forecasting
J Wu, Z Ding
International Conference on Industrial, Engineering and Other Applications …, 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
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
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
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
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