Stochastic Modelling of Daily Peak Electricity Demand Using Value Theory

Stochastic Modelling of Daily Peak Electricity Demand Using Value Theory

MSc (Statistics) === Department of Statistics === Daily peak electricity data from ESKOM, South African power utility company for the period, January 1997 to December 2013 consisting of 6209 observations were used in this dissertation. Since 1994, the increased electricity demand has led to sustai...

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Bibliographic Details
Main Author: Boano - Danquah, Jerry
Other Authors: Sigauke, C.
Format: Others
Language:en
Published: 2018
Subjects:
Extreme Value Theory (EVT)
Daily Peak Electricity (DPED)
Peaks-Over - Thresholds (POT)
Poisson (GPD)
Maximum Likelihood Estimation (MLE)
333.790968
Power resources > South Africa
Electric power consumption > South Africa
Demand-side management (Electric utilities) > South Africa
Energy consumption > South Africa
Stochastic processes > South Africa
Electric power > South Africa
Electric utilities > South Africa
Electric industries > South Africa
Online Access:Boano-Danquah, Jerry (2018) Stochastic Modelling of Daily Peak Electricity Demand Using Value Theory, University of Venda, South Africa.<http://hdl.handle.net/11602/1209>.
http://hdl.handle.net/11602/1209

Internet

Boano-Danquah, Jerry (2018) Stochastic Modelling of Daily Peak Electricity Demand Using Value Theory, University of Venda, South Africa.<http://hdl.handle.net/11602/1209>.
http://hdl.handle.net/11602/1209

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