A Deep Learning Framework for Modeling Temporal Dependencies and Hierarchies in Hourly Electricity Demand Load


Book chapter


Claris Shoko, Ntebogang Dinah Moroke, Katleho Makatjane
Machine Learning and Computer Vision for Renewable Energy, IGI Global, 2024, pp. 42--65

Cite

Cite

APA   Click to copy
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   Click to copy
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   Click to copy
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}
}