| 1 |
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 |
| 2 |
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 |
| 3 |
Does Daylight Saving Save Electricity? A Meta-Analysis
Havranek T, Herman D, Irsova Z
Energy Journal, 39(2), 35, 2018 |
| 4 |
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 |
| 5 |
Demand forecast of PV integrated bioclimatic buildings using ensemble framework
Raza MQ, Nadarajah M, Ekanayake C
Applied Energy, 208, 1626, 2017 |
| 6 |
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 |
| 7 |
Application of Bayesian model averaging in modeling long-term wind speed distributions
Li G, Shi J
Renewable Energy, 35(6), 1192, 2010 |
