| 1 |
Prediction of residual burst strength for composite pressure vessels after low velocity impact
Liao BB, Du Y, Zheng JY, Wang DL, Lin Y, Tao R, Zhou CL
International Journal of Hydrogen Energy, 45(18), 10962, 2020 |
| 2 |
A combined model based on data preprocessing strategy and multi-objective Chock far optimization algorithm for short-term wind speed forecasting
Niu XS, Wang JY
Applied Energy, 241, 519, 2019 |
| 3 |
A novel combined model based on echo state network for multi-step ahead wind speed forecasting: A case study of NREL
Chen YH, He ZS, Shang ZH, Li CH, Li L, Xu ML
Energy Conversion and Management, 179, 13, 2019 |
| 4 |
Research on a combined model based on linear and nonlinear features - A case study of wind speed forecasting
Zhang KQ, Qu ZX, Dong YX, Lu HY, Leng WN, Wang JZ, Zhang WY
Renewable Energy, 130, 814, 2019 |
| 5 |
A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting
Song JJ, Wang JZ, Lu HY
Applied Energy, 215, 643, 2018 |
| 6 |
Research and application of a combined model based on variable weight for short term wind speed forecasting
Li HM, Wang JZ, Lu HY, Guo ZH
Renewable Energy, 116, 669, 2018 |
| 7 |
Research and application of a combined model based on frequent pattern growth algorithm and multi-objective optimization for solar radiation forecasting
Heng JN, Wang JZ, Xiao LY, Lu HY
Applied Energy, 208, 845, 2017 |
| 8 |
Research and application of a combined model based on multi-objective optimization for electrical load forecasting
Xiao LY, Shao W, Yu MX, Ma J, Jin CJ
Energy, 119, 1057, 2017 |
| 9 |
Research and application of a combined model based on multi objective optimization for multi-step ahead wind speed forecasting
Wang JZ, Heng JN, Xiao LY, Wang C
Energy, 125, 591, 2017 |
| 10 |
A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting
Zhang WY, Qu ZX, Zhang KQ, Mao WQ, Ma YN, Fan X
Energy Conversion and Management, 136, 439, 2017 |
