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Jinran Wu
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Year
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
1232020
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
712019
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
602021
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
412017
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
382021
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
272022
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
272017
A hybrid deep learning framework for air quality prediction with spatial autocorrelation during the COVID-19 pandemic
Z Zhao, J Wu, F Cai, S Zhang, YG Wang
Scientific Reports 13 (1), 1015, 2023
232023
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
232022
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
232022
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
222022
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
222022
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
192022
QQLMPA: A quasi-opposition learning and Q-learning based marine predators algorithm
S Zhao, Y Wu, S Tan, J Wu, Z Cui, YG Wang
Expert Systems with Applications 213, 119246, 2023
182023
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
182022
An evaluation of the impact of COVID-19 lockdowns on electricity demand
J Wu, N Levi, R Araujo, YG Wang
Electric Power Systems Research 216, 109015, 2023
172023
A new algorithm for support vector regression with automatic selection of hyperparameters
YG Wang, J Wu, ZH Hu, GJ McLachlan
Pattern Recognition 133, 108989, 2023
172023
An integrated federated learning algorithm for short-term load forecasting
Y Yang, Z Wang, S Zhao, J Wu
Electric Power Systems Research 214, 108830, 2023
162023
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
162020
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
152021
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