| 1 |
Modeling heat transfer properties in an ORC direct contact evaporator using RBF neural network combined with EMD
Huang JW, Xiao QT, Liu JJ, Wang H
Energy, 173, 306, 2019 |
| 2 |
Real-time study of a photovoltaic system with boost converter using the PSO-RBF neural network algorithms in a MyRio controller
Hamdi H, Ben Regaya C, Zaafouri A
Solar Energy, 183, 1, 2019 |
| 3 |
Markov velocity predictor and radial basis function neural network based real-time energy management strategy for plug-in hybrid electric vehicles
Liu H, Li XM, Wang WD, Han LJ, Xiang CL
Energy, 152, 427, 2018 |
| 4 |
Application of coRNA-GA based RBF-NN to model proton exchange membrane fuel cells
Zhang L, Wang N
International Journal of Hydrogen Energy, 43(1), 329, 2018 |
| 5 |
The Multi-Objective Optimization Model of Flue Aimed Temperature of Coke Oven
Tian ZD, Li SJ, Wang YH
Journal of Chemical Engineering of Japan, 51(8), 683, 2018 |
| 6 |
Calibration methodology for energy management system of a plug-in hybrid electric vehicle
Duan BM, Wang QN, Zeng XH, Gong YS, Song DF, Wang JN
Energy Conversion and Management, 136, 240, 2017 |
| 7 |
A new adaptive control strategy for a class of nonlinear system using RBF neuro-sliding-mode technique: application to SEIG wind turbine control system
Kenne G, Fotso AS, Lamnabhi-Lagarrigue F
International Journal of Control, 90(4), 855, 2017 |
| 8 |
Robust and optimal technical method with application to hydrogen fuel cell systems
Chang EC
International Journal of Hydrogen Energy, 42(40), 25326, 2017 |
| 9 |
Multi-objective exergetic optimization of continuous photo-biohydrogen production process using a novel hybrid fuzzy clustering-ranking approach coupled with Radial Basis Function (RBF) neural network
Aghbashlo M, Hosseinpour S, Tabatabaei M, Dadak A, Younesi H, Najafpour G
International Journal of Hydrogen Energy, 41(41), 18418, 2016 |
| 10 |
Maximum wind power tracking based on cloud RBF neural network
Wu ZQ, Jia WJ, Zhao LR, Wu CH
Renewable Energy, 86, 466, 2016 |
