Book chapter
Machine Learning and Computer Vision for Renewable Energy, IGI Global, 2024, pp. 42--65
Contact description
APA
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Shoko, C., Moroke, N. D., & Makatjane, K. (2024). A Deep Learning Framework for Modeling Temporal Dependencies and Hierarchies in Hourly Electricity Demand Load. In Machine Learning and Computer Vision for Renewable Energy (pp. 42–65). IGI Global.
Chicago/Turabian
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Shoko, Claris, Ntebogang Dinah Moroke, and Katleho Makatjane. “A Deep Learning Framework for Modeling Temporal Dependencies and Hierarchies in Hourly Electricity Demand Load.” In Machine Learning and Computer Vision for Renewable Energy, 42–65. IGI Global, 2024.
MLA
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Shoko, Claris, et al. “A Deep Learning Framework for Modeling Temporal Dependencies and Hierarchies in Hourly Electricity Demand Load.” Machine Learning and Computer Vision for Renewable Energy, IGI Global, 2024, pp. 42–65.
BibTeX Click to copy
@incollection{shoko2024a,
title = {A Deep Learning Framework for Modeling Temporal Dependencies and Hierarchies in Hourly Electricity Demand Load},
year = {2024},
pages = {42--65},
publisher = {IGI Global},
author = {Shoko, Claris and Moroke, Ntebogang Dinah and Makatjane, Katleho},
booktitle = {Machine Learning and Computer Vision for Renewable Energy}
}