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    Home / Data Portal / NRSLR / ZAF-ESKOM-UCT-US-DELSS-1994-2014-V1
NRSLR

Domestic Electrical Load Survey Secure Data 1994-2014

South Africa, 1995 - 2014
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Reference ID
zaf-eskom-uct-us-delss-1994-2014-v1
Producer(s)
Eskom, Stellenbosch University, University of Cape Town
Collections
National Rationalised Specification Load Research Programme - Domestic Electrical Load Study DataFirst Secure Research Data Centre
Metadata
DDI/XML JSON
Created on
May 28, 2019
Last modified
Jun 20, 2019
Page views
19394
Downloads
286
  • Study Description
  • Data Description
  • Downloads
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  • Related Publications
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Data Processing
  • Data Appraisal
  • Access policy
  • Metadata production

Identification

Survey ID Number
zaf-eskom-uct-us-delss-1994-2014-v1
Title
Domestic Electrical Load Survey Secure Data 1994-2014
Country
Name Country code
South Africa ZAF
Study type
Household Survey [hh]
Abstract
This dataset contains sensitive data that has not been disclosed in the online version of the Domestic Electrical Load Survey (DELS) 1994-2014 dataset. In contrast to the DELS dataset, the DELS Secure Data contains partially anonymised survey responses with only the names of respondents and home owners removed. The DELSS contains street and postal addresses, as well as GPS level location data for households from 2000 onwards. The GPS data is obtained through an auxiliary dataset, the Site Reference database. Like the DELS, the DELSS dataset has been retrieved and anonymised from the original SQL database with the python package delretrieve.
Kind of Data
Sample survey data
Unit of Analysis
Households and individuals

Version

Version Description
v1: Edited, partially anonymised data for use in DataFirst's secure research data centre https://www.datafirst.uct.ac.za/services/secure-data-services
Version Date
2019-05-13
Version Notes
Version 1

Scope

Notes
The scope of the South African Domestic Electrical Load Survey Secure Data includes:

HOUSEHOLD: Household characteristics, occupant demographics of gender and age, education, employment, income, income sources, number of household occupants with income, dwelling ownership, gender of head of household,
DWELLING: Dwelling characteristics, wall material, roof material, floor area, ceiling, insulation, rooms, water source, out-buildings, circuit breaker, business use
APPLIANCES: Appliance characteristics, stove, hotplate, kettle, heater, iron, geyser, washing machine, TV, HiFi radio, lights, fridge, freezer, microwave, tumble dryer, broken appliances, appliance usage
BEHAVIOUR: Cooking, heating, alternative fuels, paraffin, gas, wood, charcoal, coal,
ELECTRICITY: Time electrified, power quality, lights dimming, power outages, power trips
Keywords
Keyword
electrical
household
load data
domestic
electrification
power quality
electricity
consumption
energy
rural
residential
appliance

Coverage

Geographic Coverage
The study had national coverage.
Geographic Unit
The lowest unit of geographic aggregation in the secure (restricted-access) version of the data is street address, and household GPS coordinates from 2000 onwards.
Universe
The survey covers electrified households that received electricity either directly from Eskom or from their local municipality. Particular attention was devoted to rural and low income households, as well as surveying households electrified over a range of years, thus having had access to electricity from recent times to several decades.

Producers and sponsors

Primary investigators
Name Affiliation
Eskom Government of South Africa
Stellenbosch University
University of Cape Town
Producers
Name Affiliation Role
Council for Scientific and Industrial Research Technical assistance
Marcus Dekenah Consulting Data collection, technical assistance
Schalk Heunis Enerweb [Technical assistance in] sampling methodology/selection, data processing, data quality control, statistical analysis, data analysis (1995 - 2014)
Wiebke Toussaint University of Cape Town [Technical assistance in] data science, data stewardship, data archiving, data publishing (2017 - 2019)
Funding Agency/Sponsor
Name Abbreviation Role
Department of Minerals and Energy Affairs (now: Department of Energy) DMEA Funder from 1994 - 1997
Eskom Research Eskom Funder from 1998 - 2014
South African National Energy Development Initiative SANEDI Funder in 2019 for data archiving
Other Identifications/Acknowledgments
Name Affiliation Role
City of Cape Town Government of South Africa provided data loggers and human resources for data collection (1997 - 2006)
City of Johannesburg Government of South Africa provided data loggers and human resources for data collection (1996 - 2000)
City of Tshwane Government of South Africa provided data loggers and human resources for data collection (2001 - 2003, 2005 - 2009)
eThekwini Municipality Government of South Africa provided data loggers and human resources for data collection (1995, 1997 - 2002, 2005, 2006)
Msunduzi Municipality Government of South Africa provided data loggers and human resources for data collection (1996, 1997)
Mantsopa Municipality Government of South Africa provided data loggers and human resources for data collection (1996, 1997)
Nelson Mandela Bay Municipality Government of South Africa provided data loggers and human resources for data collection (1995, 1997 - 2006)
Stellenbosch Municipality Government of South Africa provided data loggers and human resources for data collection (1994)

Sampling

Sampling Procedure
See sampling procedure for DELS 1994-2014

Data Collection

Dates of Data Collection
Start End Cycle
2014 2014 Final data collection
1995-05-01 1995-08-31 G1994
1995-05-01 1995-08-31 G1995
1996-05-01 1996-08-31 G1996
1997-05-01 1997-08-31 G1997
1998-05-01 1998-08-31 G1998
1999-05-01 1999-08-31 G1999
2000-05-01 2000-08-31 G2000
2001-05-01 2001-08-31 G2001
2002-05-01 2002-08-31 G2002
2003-05-01 2003-08-31 G2003
2004-05-01 2004-08-31 G2004
2005-05-01 2005-08-31 G2005
2006-05-01 2006-08-31 G2006
2008-05-01 2008-08-31 G2008
2009-05-01 2009-08-31 G2009
2010-05-01 2010-08-31 G2010
2012-05-01 2012-08-31 G2012
2013-05-01 2013-08-31 G2013
2014-05-01 2014-08-31 G2014
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
See notes on data collection for DELS 1994-2014.

Data Processing

Data Editing
This dataset has been produced by extracting only the survey responses from the original NRS Load Research SQL database using the saveAnswers function from the delretrieve python package (https://github.com/wiebket/delretrieve: release v1.0). Full instructions on how to use delretrieve to extract data are in the README file contained in the package.

PARTIAL DE-IDENTIFICATION
Partial de-identification was done in the process of extracting the data from the SQL database with the delretrieve package. Only the names of respondents and home owners have been removed from the survey responses by replacing responses with an 'a' in the dataset. Documents with full details of the variables that have been anonymised are included as external resources.

MISSING VALUES
Other than partial de-identification no post-processing was done and all database records, including missing values, are stored exactly as retrieved.

Data Appraisal

Data Appraisal
See notes on data quality for DELS 1994-2014

Access policy

Contacts
Name Affiliation Email URL
DataFirst University of Cape Town support@data1st.org support.data1st.org
Access conditions
Secure Research Data Centre access https://www.datafirst.uct.ac.za/services/secure-data-services
Citation requirements
Eskom, Stellenbosch University, University of Cape Town. Domestic Electrical Load Survey-Secure Data 1994-2014 [dataset]. version 1. Johannesburg: Eskom, Cape Town: UCT, Stellenbosch: US [producers], 2014. Cape Town: DataFirst [distributor], 2019.10.25828/7jtv-mc31
Access authority
Name Affiliation Email URL
DataFirst University of Cape Town support@data1st.org support.data1st.org

Metadata production

Producers
Name Abbreviation Affiliation Role
Energy Research Centre ERC University of Cape Town Metadata producer
Date of Metadata Production
2019-05-28
DDI Document version
V2
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