Medium term load forecasting in South Africa using Generalized Additive models with tensor product interactions

Medium term load forecasting in South Africa using Generalized Additive models with tensor product interactions

MSc (Statistics) === Department of Statistics === Forecasting of electricity peak demand levels is important for decision makers in Eskom. The overall objective of this study was to develop medium term load forecasting models which will help decision makers in Eskom for planning of the operations...

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Bibliographic Details
Main Author: Ravele, Thakhani
Other Authors: Siguake, Caston
Format: Others
Language:en
Published: 2018
Subjects:
Generalized additive models
Lazeso
Lazeso via hierarchical interaction
Medium term load forecasting
Penalized regression
Restricted maximum likelihood
Tensor product interactions
Time series
333.79320968
Electric power-plants > Load
Electric power consumption > South Africa
Electric power distribution > South Africa
Electric utilities > South Africa
Electric power > Rates > South Africa
Electricity > South Africa
Online Access:Ravele, Thakhani (2018) Medium term load forecasting in South Africa using generalized additive models with tensor product interactions, University of Venda, Thohoyandou, South Africa,<http://hdl.handle.net/11602/1165>
http://hdl.handle.net/11602/1165

Internet

Ravele, Thakhani (2018) Medium term load forecasting in South Africa using generalized additive models with tensor product interactions, University of Venda, Thohoyandou, South Africa,<http://hdl.handle.net/11602/1165>
http://hdl.handle.net/11602/1165

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