| 1 |
Experimental and numerical assessment of a methodology for performance prediction of Pumps-as-Turbines (PaTs) operating in off-design conditions
Rossi M, Nigro A, Renzi M
Applied Energy, 248, 555, 2019 |
| 2 |
A model for predicting bubble velocity in yield stress fluid at low Reynolds number
Wang ZY, Lou WQ, Sun BJ, Pan SW, Zhao XX, Liu H
Chemical Engineering Science, 201, 325, 2019 |
| 3 |
Crude oil price prediction model with long short term memory deep learning based on prior knowledge data transfer
Cen ZP, Wang J
Energy, 169, 160, 2019 |
| 4 |
On the prediction of solubility of alkane in carbon dioxide using a novel ANFIS-GA method
Sedaghat M, Esfandiarian A
Energy Sources Part A-recovery Utilization and Environmental Effects, 41(23), 2861, 2019 |
| 5 |
Modeling dynamic viscosity of n-alkanes using LSSVM technique
Sepehr M, Baghban M, Ghanbari A, Bozorgvar ME, Baghban A
Energy Sources Part A-recovery Utilization and Environmental Effects, 40(16), 1966, 2018 |
| 6 |
Application of MLP-ANN as a novel predictive method for prediction of the higher heating value of biomass in terms of ultimate analysis
Darvishan A, Bakhshi H, Madadkhani M, Mir M, Bemani A
Energy Sources Part A-recovery Utilization and Environmental Effects, 40(24), 2960, 2018 |
| 7 |
A new hydrate deposition prediction model for gas-dominated systems with free water
Wang ZY, Zhang JB, Sun BJ, Chen LT, Zhao Y, Fu WQ
Chemical Engineering Science, 163, 145, 2017 |
| 8 |
Predicting the frequency of abnormal events in chemical process with Bayesian theory and vine copula
Lv C, Zhang ZY, Ren X, Li SJ
Journal of Loss Prevention in The Process Industries, 32, 192, 2014 |
