DocumentCode
149859
Title
Domestic building density estimates for network planning
Author
Booysen, J. ; Dekenah, Marcus ; Sethlogo, L.
fYear
2014
fDate
1-2 April 2014
Firstpage
1
Lastpage
8
Abstract
Domestic building density estimates per living standards measure (LSM) in South Africa was needed to produce energy density estimates for network planning by means of the Eskom Geo Load Forecasting system (GLF). Building density estimates for domestic buildings was calculated by linking complex spatial data, using spatial filtering and algorithms to find domestic building density estimates per LSM group in South Africa that is based on reality. Building density estimates can then be combined with domestic load research data (DLR) to calculate domestic energy density. The focus of this paper was on the specific task of calculating domestic building density per LSM in South Africa as no published measures currently exist at a National level.
Keywords
load forecasting; spatial filters; DLR; Eskom Geo load forecasting system; GLF; LSM; South Africa; complex spatial data; domestic building density estimates; domestic energy density estimates; domestic load research data; living standards measure; network planning; spatial filtering;
fLanguage
English
Publisher
ieee
Conference_Titel
Domestic Use of Energy (DUE), 2014 Proceedings of the Twenty-Second
Conference_Location
Cape Town
Print_ISBN
978-0-9922041-4-3
Type
conf
DOI
10.1109/DUE.2014.6827765
Filename
6827765
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