| 1 |
Artificial intelligence (AI)-based friction factor models for large piping networks
Parveen N, Zaidi S, Danish M
Chemical Engineering Communications, 207(2), 213, 2020 |
| 2 |
A new method for optimal parameters identification of a PEMFC using an improved version of Monarch Butterfly Optimization Algorithm
Bao SJ, Ebadi A, Toughani M, Dalle J, Maseleno A, Baharuddin, Yildizbasi A
International Journal of Hydrogen Energy, 45(35), 17882, 2020 |
| 3 |
Theoretical energy storage system sizing method and performance analysis for wind power forecast uncertainty management
Oh E, Son SY
Renewable Energy, 155, 1060, 2020 |
| 4 |
Dynamic mean absolute error as new measure for assessing forecasting errors
Frias-Paredes L, Mallor F, Gaston-Romeo M, Leon T
Energy Conversion and Management, 162, 176, 2018 |
| 5 |
A Novel Algorithm for Estimating Refurbished Three-Phase Induction Motors Efficiency Using Only No-Load Tests
Al-Badri M, Pillay P, Angers P
IEEE Transactions on Energy Conversion, 30(2), 615, 2015 |
| 6 |
Effect of liquid surface tension data on the validity and accuracy of solid surface tension components and parameters in the application of the van Oss-Chaudhury-Good approach
Weng M, Shen Q
Journal of Adhesion Science and Technology, 28(22-23), 2248, 2014 |
| 7 |
Solid surface tension components and their error limits induced by contact angle measurement in application of the van Oss-Chaudhury-Good approach
Weng M, Shen Q
Journal of Adhesion Science and Technology, 27(23), 2571, 2013 |
| 8 |
Instrumentation error analysis of a box-type solar cooker
Purohit I, Purohit P
Energy Conversion and Management, 50(2), 365, 2009 |
| 9 |
Effect of solar radiation correlations on system sizing: PV pumping case
Yesilata B, Firatoglu ZA
Renewable Energy, 33(1), 155, 2008 |
