Prof. Wei-Chiang Hong

Asia Eastern University of Science and Technology, Taiwan

Professor

Email: samuelsonhong@gmail.com

Qualifications

2008 Ph.D., Da-Yeh University, Taiwan

1996 M.Sc., National Chiao Tung University, Taiwan

1994 B.Sc., Fu-Jen Catholic University, Taiwan

Publications (Selected)

1. Fan, G.-F., Zhang, L.-Z., Yu, M., Hong, Wei-Chiang, and Dong, S.-Q. “Applications of random forest in multivariable response surface for short-term load forecasting,” International Journal of Electrical Power & Energy Systems, 139, 108073, July 2022.
2. Li, M.-W., Xu, D.-Y., Geng, J., and Hong, Wei-Chiang “A ship motion forecasting approach based on empirical mode decomposition method hybrid deep learning network and quantum butterfly optimization algorithm,” Nonlinear Dynamics, 71(3) Pages 2447-2467, February 2022.
3. Li, M.-W., Xu, D.-Y., Geng, J., and Hong, Wei-Chiang “A hybrid approach for forecasting ship motion using CNN-GRU-AM and GCWOA,” Applied Soft Computing, 114, 108084, January 2022.
4. Peng, L.-L., Fan, G.-F., Meng, Y., Chang, Y.-C., and Hong, Wei-Chiang “Electric load forecasting based on wavelet transform and random forest,” Advanced Theory and Simulations, 4(12), 2100334, December 2021.
5. Fan, G.-F., Yu, M., Dong, S.-Q., Yeh, Y.-H., and Hong, Wei-Chiang “Forecasting short-term electricity load using hybrid support vector regression with grey catastrophe and random forest modeling,” Utilities Policy, 73, 101294, December 2021.
6. Zhang, Z.-C., and Hong, Wei-Chiang “Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads,” Knowledge-Based Systems, 228, 107297, September 2021.
7. Li, M.-W., Wang, Y.-T., Geng, J., Hong, Wei-Chiang “Chaos cloud quantum bat hybrid optimization algorithm,” Nonlinear Dynamics, 103(1) Pages 1167-1193, January 2021.
8. Fan, G.-F., Xiao, W., Li, Y.-T., and Hong, Wei-Chiang “Forecasting electricity consumption using a novel hybrid model,” Sustainable Cities and Society, 61, 102320, October 2020.
9. Fan, G.-F., Guo, Y.-H., Zheng, J.-M., and Hong, Wei-Chiang “A generalized regression model based on hybrid empirical mode decomposition and support vector regression with back propagation neural network for mid-short-term load forecasting,” Journal of Forecasting, 39(5) Pages 737-756, August 2020.
10. Fan, G.-F., Xiao, W., Li, Y.-T., and Hong, Wei-Chiang “Fault detection in switching process of a substation using the SARIMA-SPC model,” Scientific Reports, 10, 11417, July 2020.
11. Zhang, Z.-C., and Hong, Wei-Chiang “Electric load forecasting by complete ensemble empirical model decomposition adaptive noise and support vector regression with quantum-based dragonfly algorithm,” Nonlinear Dynamics, 98(2) Pages 1107-1136, October 2019.
12. Li, M.-W., Geng, J., Hong, Wei-Chiang, and Zhang, L.-D. “Periodogram estimation based on LSSVR-CCPSO compensation for forecasting ship motion,” Nonlinear Dynamics, 97(4) Pages 2579-2594, September 2019.
13. Hong, Wei-Chiang, Li, M.-W., Geng, J., and Zhang, Y. “Novel chaotic bat algorithm for forecasting complex motion of floating platforms,” Applied Mathematical Modelling, 72 Pages 425-443, August 2019.
14. Liang, Y., Niu, D., and Hong, Wei-Chiang “Short term load forecasting based on feature extraction and improved general regression neural network model,” Energy, 166 Pages 653-663, January 2019.
15. Fan, G.-F., Peng, L.-L., and Hong, Wei-Chiang “Short term load forecasting based on phase space reconstruction algorithm and bi-square kernel regression model,” Applied Energy, 224 Pages 13-33, August 2018.
16. Li, M.-W., Geng, J., Hong, Wei-Chiang, and Chen, Z.-Y. “A novel approach based on the Gauss-vSVR with a new hybrid evolutionary algorithm and input vector decision method for port throughput forecasting,” Neural Computing and Applications, 28 (Suppl 1) Pages S621-S640, December 2017.
17. Li, M.-W., Hong, Wei-Chiang, Geng, J., and Wang, J. “Berth and quay crane coordinated scheduling using chaos cloud particle swarm optimization algorithm,” Neural Computing and Applications, 28(11) Pages 3163-3182, November 2017.
18. Fan, G., Peng, L.-L., Hong, Wei-Chiang, and Sun, F. “Electric load forecasting by the SVR model with differential empirical mode decomposition and auto regression,” Neurocomputing, 173(Part 3) Pages 958-970, January 2016.
19. Geng, J., Huang, M.-L., Li, M.-W., and Hong, Wei-Chiang “Hybridization of seasonal chaotic cloud simulated annealing algorithm in a SVR-based load forecasting model,” Neurocomputing, 151(Part 3) Pages 1362-1373, March 2015.
20. Chen, R., Liang, C.-Y., Hong, Wei-Chiang, and Gu, D.-X. “Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm,” Applied Soft Computing, 26 Pages 435-443, January 2015.