| 1 |
Predicting particle collection performance of a wet electrostatic precipitator under varied conditions with artificial neural networks
Yang ZD, Cai YX, Li QY, Li HQ, Jiang Y, Lin RY, Zheng CH, Sun DS, Gao X
Powder Technology, 377, 632, 2021 |
| 2 |
Assessment of Khibiny Alkaline Massif groundwater quality using statistical methods and water quality index
Popugaeva D, Kreyman K, Ray AK
Canadian Journal of Chemical Engineering, 98(1), 205, 2020 |
| 3 |
UNIPOPT: Univariate projection-based optimization without derivatives
Bajaj I, Hasan MMF
Computers & Chemical Engineering, 127, 71, 2019 |
| 4 |
A combined multivariate model for wind power prediction
Ouyang TH, Zha XM, Qin L
Energy Conversion and Management, 144, 361, 2017 |
| 5 |
Are fluctuations in natural gas consumption per capita transitory? Evidence from time series and panel unit root tests
Shahbaz M, Khraief N, Mahalik MK, Zaman KU
Energy, 78, 183, 2014 |
| 6 |
The influence of biofuels, economic and financial factors on daily returns of commodity futures prices
Algieri B
Energy Policy, 69, 227, 2014 |
| 7 |
Relationship between construction characteristics and carbon emissions from urban household operational energy usage
Ye H, Wang K, Zhao XF, Chen F, Li XQ, Pan LY
Energy and Buildings, 43(1), 147, 2011 |
| 8 |
Eighty Univariate Distributions and Their Relationships Displayed in a Matrix Format
Song WT, Chen YC
IEEE Transactions on Automatic Control, 56(8), 1979, 2011 |
| 9 |
A continuous bivariate model for wind power density and wind turbine energy output estimations
Carta JA, Mentado D
Energy Conversion and Management, 48(2), 420, 2007 |
| 10 |
Neural networks in forecasting electrical energy consumption: univariate and multivariate approaches
Nasr GE, Badr EA, Younes MR
International Journal of Energy Research, 26(1), 67, 2002 |
