| 1 |
Very short-term wind power density forecasting through artificial neural networks for microgrid control
Rodriguez F, Florez-Tapia AM, Fontan L, Galarza A
Renewable Energy, 145, 1517, 2020 |
| 2 |
Volume expansion prediction of supercritical CO2 + crude oil
Han HS, Li ZL, Chen XL, Li S, Qin JS
Fluid Phase Equilibria, 439, 9, 2017 |
| 3 |
Density prediction of pyridinium, imidazolium, pyrrolidinium, ammonium, and phosphonium-based ionic liquids using an equation of state
Xu HX, Li HR, Wang JF
Fluid Phase Equilibria, 427, 406, 2016 |
| 4 |
Density prediction and dimensionality reduction of mid-term electricity demand in China: A new semiparametric-based additive model
Shao Z, Yang SL, Gao F
Energy Conversion and Management, 87, 439, 2014 |
| 5 |
Experimental and modeling study of the phase behavior of synthetic crude oil + CO2
Al Ghafri SZ, Maitland GC, Trusler JPM
Fluid Phase Equilibria, 365, 20, 2014 |
| 6 |
A unique approach to predict accurate heavy oil density with new three parameter cubic equation of state
Kumar A, Henni A
Canadian Journal of Chemical Engineering, 91(2), 391, 2013 |
| 7 |
Predicting biodiesel densities over a wide temperature range up to 523 K
Meng XZ, Jia M, Wang TY
Fuel, 111, 216, 2013 |
| 8 |
Prediction of deep eutectic solvents densities at different temperatures
Shahbaz K, Mjalli FS, Hashim MA, Ainashef IM
Thermochimica Acta, 515(1-2), 67, 2011 |
| 9 |
Viscosity and density data of the system water plus n-pentyl acetate plus methanol - Calculations with a modified Redlich-Kwong-Soave equation of state
Giro F, Goncalves MF, Ferreira AGM, Fonseca IMA
Fluid Phase Equilibria, 204(2), 217, 2003 |
| 10 |
Experimental liquid viscosities of decane and octane plus decane from 298.15 K to 373.15 K and up to 25 MPa
Estrada-Baltazar A, Alvarado JFJ, Iglesias-Silva GA, Barrufet MA
Journal of Chemical and Engineering Data, 43(3), 441, 1998 |
