1 |
Integrated bidding strategy of distributed energy resources based on novel prediction and market model Lin XY, Chen C, Gauzily S International Journal of Energy Research, 44(5), 4048, 2020 |
2 |
Artificial neural network based photovoltaic fault detection algorithm integrating two bi-directional input parameters Hussain M, Dhimish M, Titarenko S, Mather P Renewable Energy, 155, 1272, 2020 |
3 |
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 |
4 |
Smart models for predicting under-saturated crude oil viscosity: a comparative study Razghandi M, Hemmati-Sarapardeh A, Rashidi F, Dabir B, Shamshirband S Energy Sources Part A-recovery Utilization and Environmental Effects, 41(19), 2326, 2019 |
5 |
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 |
6 |
Organic carbon recovery modeling for a rotating belt filter and its impact assessment on a plant-wide scale Behera CR, Santoro D, Gernaey KV, Sin G Chemical Engineering Journal, 334, 1965, 2018 |
7 |
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 |
8 |
Application of neural network for the prediction of chemical exergy: application in exergy and economic analyses He XS, Zhang LG, Jiang YQ Energy Sources Part A-recovery Utilization and Environmental Effects, 40(20), 2423, 2018 |
9 |
Multiquadric RBF-FD method for the convection-dominated diffusion problems base on Shishkin nodes Li N, Su HY, Gui DW, Feng XL International Journal of Heat and Mass Transfer, 118, 734, 2018 |
10 |
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 |