A statistical analysis of Cape Town wind profile

Mbuyamba Tshibanda; Jan Harm C. Pretorius

doi:10.1109/AFRCON.2013.6757612

A statistical analysis of Cape Town wind profile

Mbuyamba Tshibanda, Jan Harm C. Pretorius

Postgraduate School of Engineering Management

University of Johannesburg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The increased integration of wind power into electric power systems presents new challenges for effective planning and operation of these systems. The Weibull distribution is a widely used distribution, especially for modelling the random variable of wind speed. In this respect, the authors present a comparative analysis of a number of methods used for estimating Weibull parameters. Results for a real-world database are presented in a case study format. The techniques require historical wind speed data, collected over a particular time interval, to establish the parameters of wind speed distribution for a specific location, namely Cape Town, South Africa.

Original language	English
Title of host publication	IEEE AFRICON 2013
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781467359405
DOIs	https://doi.org/10.1109/AFRCON.2013.6757612
Publication status	Published - 2013
Event	IEEE AFRICON 2013 - Pointe-Aux-Piments, Mauritius Duration: 9 Sept 2013 → 12 Sept 2013

Publication series

Name	IEEE AFRICON Conference
ISSN (Print)	2153-0025
ISSN (Electronic)	2153-0033

Conference

Conference	IEEE AFRICON 2013
Country/Territory	Mauritius
City	Pointe-Aux-Piments
Period	9/09/13 → 12/09/13

Keywords

Weibull distribution
Wind speed data
probability density function
wind energy

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/AFRCON.2013.6757612

Cite this

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title = "A statistical analysis of Cape Town wind profile",

abstract = "The increased integration of wind power into electric power systems presents new challenges for effective planning and operation of these systems. The Weibull distribution is a widely used distribution, especially for modelling the random variable of wind speed. In this respect, the authors present a comparative analysis of a number of methods used for estimating Weibull parameters. Results for a real-world database are presented in a case study format. The techniques require historical wind speed data, collected over a particular time interval, to establish the parameters of wind speed distribution for a specific location, namely Cape Town, South Africa.",

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AB - The increased integration of wind power into electric power systems presents new challenges for effective planning and operation of these systems. The Weibull distribution is a widely used distribution, especially for modelling the random variable of wind speed. In this respect, the authors present a comparative analysis of a number of methods used for estimating Weibull parameters. Results for a real-world database are presented in a case study format. The techniques require historical wind speed data, collected over a particular time interval, to establish the parameters of wind speed distribution for a specific location, namely Cape Town, South Africa.

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KW - Wind speed data

KW - probability density function

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M3 - Conference contribution

AN - SCOPUS:84897466852

SN - 9781467359405

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BT - IEEE AFRICON 2013

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE AFRICON 2013

Y2 - 9 September 2013 through 12 September 2013

ER -

A statistical analysis of Cape Town wind profile

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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