| 1 |
A novel wind speed forecasting based on hybrid decomposition and online sequential outlier robust extreme learning machine
Zhang D, Peng XG, Pan KD, Liu Y
Energy Conversion and Management, 180, 338, 2019 |
| 2 |
Crisscross PSO algorithm for multi-objective generation scheduling of pumped storage hydrothermal system incorporating solar units
Patwal RS, Narang N
Energy Conversion and Management, 169, 238, 2018 |
| 3 |
An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization
Yin H, Dong Z, Chen YL, Ge JF, Lai LL, Vaccaro A, Meng AN
Energy Conversion and Management, 150, 108, 2017 |
| 4 |
An efficient crisscross optimization solution to large-scale non-convex economic load dispatch with multiple fuel types and valve-point effects
Meng AB, Li JB, Yin H
Energy, 113, 1147, 2016 |
| 5 |
Wind speed forecasting based on wavelet packet decomposition and artificial neural networks trained by crisscross optimization algorithm
Meng AB, Ge JF, Yin H, Chen SZ
Energy Conversion and Management, 114, 75, 2016 |
| 6 |
Crisscross optimization algorithm for large-scale dynamic economic dispatch problem with valve-point effects
Meng AB, Hu HW, Yin H, Peng XG, Guo ZZ
Energy, 93, 2175, 2015 |
| 7 |
Crisscross optimization algorithm for solving combined heat and power economic dispatch problem
Meng AB, Mei P, Yin H, Peng XG, Guo ZZ
Energy Conversion and Management, 105, 1303, 2015 |
| 8 |
Crisscross addition polymerization of alkyl aldazines and 1,4-phenylene diisocyanate
Hashidzume A, Imai R, Sato T
Polymer, 50(10), 2246, 2009 |
| 9 |
Polymer formation utilizing'crisscross' addition (crisscross addition polymerization) of acetaldehyde azine and 1,4-phenylene diisocyanate
Hashidzume A, Shiota J, Ueno Y, Noda T, Takashima Y, Harada A, Kamachi M
Polymer, 47(2), 501, 2006 |
