| 1 |
Prediction of Yields of Lower Olefins during Pyrolysis of Hydrocarbon Feedstock
Khasanov RG, Murtazin FR
Chemistry and Technology of Fuels and Oils, 56(3), 341, 2020 |
| 2 |
Maximum power output prediction of HCPV FLATCON (R) module using an ANN approach
Said MI, Steiner M, Siefer G, Arab AH
Renewable Energy, 152, 1274, 2020 |
| 3 |
A quick-scan method to assess photovoltaic rooftop potential based on aerial imagery and LiDAR
de Vries TNC, Bronkhorst J, Vermeer M, Donker JCB, Briels SA, Ziar H, Zeman M, Isabella O
Solar Energy, 209, 96, 2020 |
| 4 |
Predicting the increase of methane yield using alkali pretreatment for weeds prior to co-digestion
Sinbuathong N
Energy Sources Part A-recovery Utilization and Environmental Effects, 41(9), 1124, 2019 |
| 5 |
Energy yield prediction of a bifacial PV system with a miniaturized test array
Nussbaumer H, Klenk M, Morf M, Keller N
Solar Energy, 179, 316, 2019 |
| 6 |
Prediction model of biocrude yield and nitrogen heterocyclic compounds analysis by hydrothermal liquefaction of microalgae with model compounds
Sheng LL, Wang X, Yang XY
Bioresource Technology, 247, 14, 2018 |
| 7 |
Slow pyrolysis polygeneration of bamboo (Phyllostachys pubescens): Product yield prediction and biochar formation mechanism
Wang HH, Wang X, Cui YS, Xue ZC, Ba YX
Bioresource Technology, 263, 444, 2018 |
| 8 |
Pyrolysis simulations of Fugu coal by large-scale ReaxFF molecular dynamics
Gao MJ, Li XX, Guo L
Fuel Processing Technology, 178, 197, 2018 |
| 9 |
Analysis of the light-induced degradation of differently matched tandem solar cells with and without an intermediate reflector using the Power Matching Method
Blank B, Ulbrich C, Merdzhanova T, Zahren C, Pieters BE, Gerber A, Rau U
Solar Energy Materials and Solar Cells, 143, 1, 2015 |
| 10 |
Prediction of the yield of biohydrogen under scanty data conditions based on GM(1,N)
Ren JZ, Gao SZ, Tan SY, Dong LC
International Journal of Hydrogen Energy, 38(30), 13198, 2013 |
