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
Link To Document :
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