Journal article
Applied Energy, vol. 222, 2018 Jun 15, pp. 104-118
APA
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Lebotsa, M. E., Sigauke, C., Bere, A., Fildes, R., & Boylan, J. E. (2018). Short term electricity demand forecasting using partially linear additive quantile regression with an application to the unit commitment problem. Applied Energy, 222, 104–118.
Chicago/Turabian
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Lebotsa, Moshoko Emily, Caston Sigauke, Alphonce Bere, Robert Fildes, and John E. Boylan. “Short Term Electricity Demand Forecasting Using Partially Linear Additive Quantile Regression with an Application to the Unit Commitment Problem.” Applied Energy 222 (June 15, 2018): 104–118.
MLA
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Lebotsa, Moshoko Emily, et al. “Short Term Electricity Demand Forecasting Using Partially Linear Additive Quantile Regression with an Application to the Unit Commitment Problem.” Applied Energy, vol. 222, June 2018, pp. 104–18.
BibTeX Click to copy
@article{moshoko2018a,
title = {Short term electricity demand forecasting using partially linear additive quantile regression with an application to the unit commitment problem},
year = {2018},
month = jun,
day = {15},
journal = {Applied Energy},
pages = {104-118},
volume = {222},
author = {Lebotsa, Moshoko Emily and Sigauke, Caston and Bere, Alphonce and Fildes, Robert and Boylan, John E.},
month_numeric = {6}
}