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    Home / Data Portal / NRSLR / ZAF-ERC-DELMH-1994-2014-V1
NRSLR

Domestic Electrical Load Metering, Hourly Data 1994-2014

South Africa, 1994 - 2014
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Reference ID
zaf-erc-delmh-1994-2014-v1
Producer(s)
Wiebke Toussaint
Collections
NRSLR Programme Domestic Electrical Load Study
Metadata
DDI/XML JSON
Created on
May 29, 2019
Last modified
Apr 15, 2020
Page views
10779
Downloads
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  • Study Description
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Data Collection
  • Data processing
  • Data Access
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  • Metadata production
  • Identification

    Survey ID number

    zaf-erc-delmh-1994-2014-v1

    Title

    Domestic Electrical Load Metering

    Subtitle

    Hourly Data 1994-2014

    Country
    Name Country code
    South Africa ZAF
    Study type

    Service Provision Assessment [hh/spa]

    Series Information

    Toussaint, Wiebke. Domestic Electrical Load Metering, Hourly Data 1994-2014 [dataset]. Version 1. Johannesburg: SANEDI [funders]. Cape Town: Energy Research Centre, UCT [producers], 2014. Cape Town: DataFirst [distributor], 2019. DOI: https://doi.org/10.25828/56nh-fw77

    Abstract

    This data is an aggregated subset of the 5-minute interval electricity metering data available in the Domestic Electrical Load Metering Data (DELM) 1994-2014 available in DataFirst's secure centre. The large volume and high metering cadence of the DELM 1994-2014 data is unwieldy to access and process. Many applications that do not require the granularity of the DELM 1994-2014 data will be able to extract value more effectively and conveniently from aggregate values. This dataset contains all current (Amps) observations aggregated to hourly values. It can be easily merged with the Domestic Electrical Load Survey Key Variables 1994-2014 data to link socio-demographic varibles with household consumption data. This dataset and similar custom datasets can be produced from the DELM 1994-2014 dataset with the python package delprocess. The data processing section includes a description of how this dataset was created. The development of the tools to create this dataset was funded by the South African National Energy Development Initiative (SANEDI).

    Kind of Data

    Observation data

    Unit of Analysis

    Households

    Version

    Version Description

    v1: Edited, anonymised data for licensed distribution

    Version Date

    2019-05-23

    Scope

    Notes

    The scope of the hourly South African Domestic Electrical Load Metering data includes:
    CURRENT: Amperes (A) aggregated over a 60 minute interval defined to start daily at 00:00:00 - 00:59:59.

    Keywords
    current South Africa rural electrification load data time-of-use electrical household consumption energy electricity domestic residential behaviour

    Coverage

    Geographic Coverage

    The study had national coverage.

    Geographic Unit

    The DELMH 1994-2014 dataset does not contain geographic information. When combined with the DELSKV 1994-2014 dataset, the lowest unit of geographic aggregation is settlement/suburb. Municipal-level data is also available in the DELSKV data which can be merged with the DELMH data.

    Universe

    The metering study 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
    Wiebke Toussaint University of Cape Town
    Funding Agency/Sponsor
    Name Role
    South African National Energy Development Initiative Funder
    Other Identifications/Acknowledgments
    Name Affiliation Role
    Marcus Dekenah MDekenah Consulting [Expert knowledge for] understanding database design and conveying details around data collection

    Data Collection

    Dates of Data Collection
    Start End
    1994 2014

    Data processing

    Data Editing

    This data has been produced by aggregating all current (Amps) metering data from the DELMS 1994-2014 dataset using the reduceRawProfiles function from the delprocess python package (https://github.com/wiebket/delprocess: release v1.0). Full instructions on how to use delprocess to aggregate metering data are in the README file contained in the package.

    INVALID READINGS
    The 'Valid' indicator of readings was converted to 1 (valid) and 0 (invalid). Missing 'Valid' indicators were filled with 0 values.

    MISSING VALUES
    Missing readings were treated as per pandas.dataframe.mean default: skipna = True; i.e. missing values are excluded when computing results.

    DATA AGGREGATION (OBSERVATIONS)
    The following processing steps were performed to produce the aggregate dataset:
    0. 'Datefield' values were converted to integer values, rounded to 9 positions left of the decimal, and converted to a numpy datetime64 object with nano-second units. This was done to coerce the data to consistent time intervals.

    1. readings grouped by RecorderID and ProfileID
    2. grouped data resampled to hourly values ('Datefield' column converted to 'H' offset)
    3. mean meter reading value and 'Valid' indicator calculated over resampled intervals
    4. rows with all missing values removed
    5. aggregated 'Valid' indicator set to 0 unless it was 1 (i.e. if one reading was marked as invalid, the mean 'Valid' indicator would be less than 1 and the aggregate 'Valid' indicator was set to 0, thus marking the aggregated validity as invalid)

    DATA AGGREGATION (STUDY CYCLES)
    Data was aggregated per year, across temporally overlapping study cycles.

    Data Access

    Access authority
    Name Affiliation URL Email
    DataFirst University of Cape Town support.data1st.org support@data1st.org
    Access conditions

    Licensed use files, available with restrictions

    Citation requirements

    Toussaint, Wiebke. Domestic Electrical Load Metering, Hourly Data 1994-2014 [dataset]. Version 1. Johannesburg: SANEDI [funders]. Cape Town: Energy Research Centre, UCT [producers], 2014. Cape Town: DataFirst [distributor], 2019. DOI: https://doi.org/10.25828/56nh-fw77

    Contacts

    Contacts
    Name Affiliation Email URL
    DataFirst Support University of Cape Town support@data1st.org support.data1st.org

    Metadata production

    Producers
    Name Affiliation Role
    DataFirst University of Cape Town Metadata producer
    Date of Metadata Production

    2020-04-15

    Metadata version

    DDI Document version

    Version 4

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