| 1 |
Gaussian processes with logistic mean function for modeling wind turbine power curves
Virgolino GCM, Mattos CLC, Magalhaes JAF, Barreto GA
Renewable Energy, 162, 458, 2020 |
| 2 |
Learning effect and its prediction for cognitive tests used in studies on indoor environmental quality
Tao MH, Yang DY, Liu WW
Energy and Buildings, 197, 87, 2019 |
| 3 |
Wind turbine power curve modeling using maximum likelihood estimation method
Seo S, Oh SD, Kwak HY
Renewable Energy, 136, 1164, 2019 |
| 4 |
Representation of batch settling via fitting a logistic function
Zhang LF, Wu AX, Wang HJ, Wang LM
Minerals Engineering, 128, 160, 2018 |
| 5 |
A simple model for predicting solid concentration distribution in binary-solid liquid fluidized beds
Peng ZB, Moghtaderi B, Doroodchi E
AIChE Journal, 63(2), 469, 2017 |
| 6 |
Methane production from secondary paper and pulp sludge: Effect of natural zeolite and modeling
Huilinir C, Quintriqueo A, Antileo C, Montalvo S
Chemical Engineering Journal, 257, 131, 2014 |
| 7 |
Analytical function describing the behaviour of a thermocline storage tank: A requirement for annual simulations of solar thermal power plants
Bayon R, Rojas E
International Journal of Heat and Mass Transfer, 68, 641, 2014 |
| 8 |
A new method for the determination of critical polyethylene glycol concentration for selective precipitation of DNA fragments
He ZY, Zhu Y, Gu HC
Applied Microbiology and Biotechnology, 97(20), 9175, 2013 |
| 9 |
Peak oil analyzed with a logistic function and idealized Hubbert curve
Gallagher B
Energy Policy, 39(2), 790, 2011 |
| 10 |
Kinetic of non-isothermal dehydration of equilibrium swollen poly(acrylic acid-co-methacrylic acid) hydrogel
Adnadjevic B, Tasic G, Jovanovic J
Thermochimica Acta, 512(1-2), 157, 2011 |
