Smart Energy Research Lab Observatory Data, 2019-2021: Secure Access (Edition 3)
Smart Energy Research Lab Observatory Data, 2019-2021: Secure Access (Edition 3)
The vision of the Smart Energy Research Lab (SERL) is to deliver a unique data resource harnessing the benefits of smart meter data for research. The portal will transform Great Britain's energy research through the long-term provision of high quality, high-resolution energy data that will support the development of a reliable evidence base for intervention, observational and longitudinal studies across the socio-technical spectrum.
The goals of the Smart Energy Research Lab are to provide:
A trusted data resource for researchers to utilise large-scale, high-resolution energy data
An effective mechanism for collecting and linking energy data with other contextual data
High quality data management to ensure fit-for-purpose data are provisioned to researchers
Participant recruitment began in August 2019. Approximately 1,700 participants were recruited from central and southern England and from Wales as part of a pilot study that tested different recruitment strategies. The second recruitment wave took place in August-September 2020, and the third wave at the start of 2021. SERL aims to recruit around 10,000 households to be regionally representative across England, Scotland and Wales. Recruitment is also designed to be representative of each Index of Multiple Deprivation (IMD) quintile; an area-based relative measure of deprivation.
26 April 2021: For the latest edition (April 2021) all SERL data up to and including 31 October 2020, which includes participant households recruited in Waves 1 and 2 were made available.
smart meter, households, Great Britain, gas, electricity, survey, EPC, meteorological
University College London
Elam, Simon
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Webborn, Ellen
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McKenna, Eoghan
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Oreszczyn, Tadj
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Anderson, Benjamin
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Elam, Simon
28497ead-5c4d-45a4-b0ce-79aea15cb5cf
Webborn, Ellen
f210ccbe-36c5-4b88-9651-43246eba8157
McKenna, Eoghan
6b4322f5-c975-4a03-a332-3d199df865c3
Oreszczyn, Tadj
cd7ee772-c397-41af-877b-74d2f2e795d9
Anderson, Benjamin
01e98bbd-b402-48b0-b83e-142341a39b2d
Elam, Simon, Webborn, Ellen, McKenna, Eoghan, Oreszczyn, Tadj and Anderson, Benjamin
(2021)
Smart Energy Research Lab Observatory Data, 2019-2021: Secure Access (Edition 3).
University College London
http://doi.org/10.5255/UKDA-SN-8666-3
[Dataset]
Abstract
The vision of the Smart Energy Research Lab (SERL) is to deliver a unique data resource harnessing the benefits of smart meter data for research. The portal will transform Great Britain's energy research through the long-term provision of high quality, high-resolution energy data that will support the development of a reliable evidence base for intervention, observational and longitudinal studies across the socio-technical spectrum.
The goals of the Smart Energy Research Lab are to provide:
A trusted data resource for researchers to utilise large-scale, high-resolution energy data
An effective mechanism for collecting and linking energy data with other contextual data
High quality data management to ensure fit-for-purpose data are provisioned to researchers
Participant recruitment began in August 2019. Approximately 1,700 participants were recruited from central and southern England and from Wales as part of a pilot study that tested different recruitment strategies. The second recruitment wave took place in August-September 2020, and the third wave at the start of 2021. SERL aims to recruit around 10,000 households to be regionally representative across England, Scotland and Wales. Recruitment is also designed to be representative of each Index of Multiple Deprivation (IMD) quintile; an area-based relative measure of deprivation.
26 April 2021: For the latest edition (April 2021) all SERL data up to and including 31 October 2020, which includes participant households recruited in Waves 1 and 2 were made available.
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More information
Published date: 26 April 2021
Keywords:
smart meter, households, Great Britain, gas, electricity, survey, EPC, meteorological
Identifiers
Local EPrints ID: 454920
URI: http://eprints.soton.ac.uk/id/eprint/454920
DOI: http://doi.org/10.5255/UKDA-SN-8666-3
PURE UUID: a70505ea-8554-46a8-beef-0588ebab6304
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Date deposited: 01 Mar 2022 17:47
Last modified: 26 Feb 2024 18:28
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Contributors
Creator:
Simon Elam
Creator:
Ellen Webborn
Creator:
Eoghan McKenna
Creator:
Tadj Oreszczyn
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