| 1 |
Short term load forecasting based on feature extraction and improved general regression neural network model
Liang Y, Niu DX, Hong WC
Energy, 166, 653, 2019 |
| 2 |
Microstructural evolution and mechanical properties of (Mg,Co,Ni,Cu,Zn)O high-entropy ceramics
Hong WC, Chen F, Shen Q, Han YH, Fahrenholtz WG, Zhang LM
Journal of the American Ceramic Society, 102(4), 2228, 2019 |
| 3 |
Short term load forecasting based on phase space reconstruction algorithm and bi-square kernel regression model
Fan GF, Peng LL, Hong WC
Applied Energy, 224, 13, 2018 |
| 4 |
Influence of cathodic overpotential and zincate concentration on zinc deposition in alkaline solution
Hong WC, Jia ZJ, Wang BG
Journal of Applied Electrochemistry, 46(10), 1085, 2016 |
| 5 |
Application of SVR with chaotic GASA algorithm in cyclic electric load forecasting
Zhang WY, Hong WC, Dong YC, Tsai G, Sung JT, Fan GF
Energy, 45(1), 850, 2012 |
| 6 |
Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm
Hong WC
Energy, 36(9), 5568, 2011 |
| 7 |
Application of chaotic ant swarm optimization in electric load forecasting
Hong WC
Energy Policy, 38(10), 5830, 2010 |
| 8 |
Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model
Hong WC
Energy Conversion and Management, 50(1), 105, 2009 |
| 9 |
Support vector machines with simulated annealing algorithms in electricity load forecasting
Pai PF, Hong WC
Energy Conversion and Management, 46(17), 2669, 2005 |
