| 1 |
The (time-varying) Importance of Oil Prices to US Stock Returns: A Tale of Two Beauty-Contests
Broadstock DC, Filis G
Energy Journal, 41(6), 1, 2020 |
| 2 |
A hybrid wind power forecasting approach based on Bayesian model averaging and ensemble learning
Wang G, Jia R, Liu JH, Zhang HG
Renewable Energy, 145, 2426, 2020 |
| 3 |
Socio-economic development and electricity access in developing economies: A long-run model averaging approach
Zhang T, Shi XP, Zhang DY, Xiao JJ
Energy Policy, 132, 223, 2019 |
| 4 |
Does Daylight Saving Save Electricity? A Meta-Analysis
Havranek T, Herman D, Irsova Z
Energy Journal, 39(2), 35, 2018 |
| 5 |
Intelligent energy management strategy based on hierarchical approximate global optimization for plug-in fuel cell hybrid electric vehicles
Yuan JN, Yang L, Chen Q
International Journal of Hydrogen Energy, 43(16), 8063, 2018 |
| 6 |
Solar output power forecast using an ensemble framework with neural predictors and Bayesian adaptive combination
Raza MQ, Mithulananthan N, Summerfield A
Solar Energy, 166, 226, 2018 |
| 7 |
Demand forecast of PV integrated bioclimatic buildings using ensemble framework
Raza MQ, Nadarajah M, Ekanayake C
Applied Energy, 208, 1626, 2017 |
| 8 |
Kinetic modeling of the simultaneous etherification of ethanol with C-4 and C-5 olefins over Amberlyst (TM) 35 using model averaging
Soto R, Fite C, Ramirez E, Bringue R, Cunill F
Chemical Engineering Journal, 307, 122, 2017 |
| 9 |
Using statistical learning to close two-fluid multiphase flow equations for bubbly flows in vertical channels
Ma M, Lu JC, Tryggvason G
International Journal of Multiphase Flow, 85, 336, 2016 |
| 10 |
A Bayesian model averaging based multi-kernel Gaussian process regression framework for nonlinear state estimation and quality prediction of multiphase batch processes with transient dynamics and uncertainty
Yu J, Chen KL, Rashid MM
Chemical Engineering Science, 93, 96, 2013 |
