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GNU AFFERO GENERAL PUBLIC LICENSE
Version 3, 19 November 2007
Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
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END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
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free software which everyone can redistribute and change under these terms.
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to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
SAVE public
Copyright (C) 2019 University of Southampton
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published
by the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
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Also add information on how to contact you by electronic and paper mail.
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specific requirements.
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU AGPL, see
<http://www.gnu.org/licenses/>.
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# SAVE Data # SAVE public repository
tbc This Repository has been created to support the deposit of the Solent Achieving Value from Efficiency (SAVE) project data to the UK Data Archive.
\ No newline at end of file
# Reference
This repository links to the following data held at UKDA XXX insert hyperlink XXX:
Rushby, Thomas W and Anderson, Ben and James, P. A. B. and Bahaj, AbuBakr (Unspecified). Solent Achieving Value from Efficiency (SAVE): randomised control trial household electricity consumption, survey and time-use data 2017-2018. [Data Collection]. Colchester, Essex: UK Data Service.
Please use the information provided above to cite the data.
# Data description (abstract)
The LCNF funded Solent Achieving Value from Efficiency (SAVE) project collected a range of data on household electricity demand for the purposes of examining the drivers and practices linked to demand, and to evaluate the impact of a randomised control trial into demand response. The project initially recruited over 4,000 households in late 2016 but due to attrition the sample size slowly declined. Efforts were made to refresh and re-recruit new households to replace those that had withdrawn. The SAVE sample is a stratified, random, address-based sample of households recruited from: the County of Hampshire the City of Southampton the City of Portsmouth the Isle of Wight The data comprises: Anonymised household survey completed by study participants; 15-minute electricity consumption measurements; Time-use diaries completed by a sub-sample of households on a number of days during the trial. The data from each source is linked using a unique anonymised household identifier.
# Contributors
## Data creators
* Rushby, Thomas W (t.w.rushby@soton.ac.uk), University of Southampton, [ORCID#](https://orcid.org/0000-0002-3686-5140)
* Anderson, Ben (b.anderson@soton.ac.uk), University of Southampton, [ORCID#](https://orcid.org/0000-0003-2092-4406)
* James, P. A. B. (p.a.james@soton.ac.uk), University of Southampton, [ORCID#](https://orcid.org/0000-0002-2694-7054)
* Bahaj, AbuBakr (a.s.bahaj@soton.ac.uk), University of Southampton, [ORCID#](https://orcid.org/0000-0002-0043-6045)
## Contributors:
* BMG Research Ltd
* Navetas (Trust Power)
## Sponsors
The work was funded by the Low Carbon Network Fund (LCNF) through the [Solent Achieving Value from Efficiency](http://www.energy.soton.ac.uk/save-solent-achieving-value-from-efficiency/) project and is (c) 2019 University of Southampton.
# Project title
Solent Acheiving Value through Efficiency (SAVE)
## Topic classification
Housing and land use
Science and technology
Demography (population, vital statistics and censuses)
## Social stratification and groupings
Society and culture
## Keywords
electrical energy consumption, households, energy conservation, energy supply, demand response, energy efficiency, energy demand
## Project dates:
From: 1 January 2016
To: 31 January 2019
## Coverage and methodology
Temporal coverage:
From: 1 January 2017
To: 31 December 2018
Collection period:
Date from: 1 October 2016
Date to: 31 January 2019
## Geographical area
Geographical coverage: Southampton, Portsmouth, Hampshire and the Isle of Wight
Country: England
Spatial unit: Administrative > Local Authority Districts
Census Geography > Super Output Areas (Lower Layer)
Administrative > Unitary Authorities (England)
Electoral > Wards (Electoral)
## Data collection method
### Recruitment
To generate a representative random sample, households were selected for recruitment via stratified random address selection. UK Census Output Areas (COAs) were stratified by Index of Multiple Deprivation 2015 and Rural Urban Classification 2011 and a total of 1,165 COAs were then randomly selected from each stratum proportionate to the number of households accounted for by each. In each of the selected COAs up to 50 addresses were then randomly selected from the Postcode Address File (PAF) to give an initial sample of 58,233 households. This sample was screened against commercially available databases (e.g. Acorn) to remove multi-occupancy households, flats/tower blocks and student households where possible. Each of the resulting 42,470 households was then randomly allocated to one of the four sample groups, and assigned a unique anonymised household ID.
The selected households were sent an introductory letter informing them of the background to the study, explaining that their household has been randomly selected for participation, and providing telephone and email contact details. No additional publicity or appeal for volunteers was conducted to prevent contamination by self-selected volunteers. Each household was then visited by one of the subcontractor’s field team, who described the nature of the study, outlined the incentives for participation (£30 on completion of recruitment and additional £5 for each of the three planned follow-up surveys) and invited them to participate in the study. In line with current evidence-based best-practice, addresses were visited five times before a replacement was drawn from the issued sample. It should be noted that where a flat was sampled, it was included where it was possible to undertake an installation of the monitoring equipment.
### Electrcity consumption monitoring
This monitoring equipment consisted of a battery-powered meter clamp and transmitter fitted around the live supply in the meter box together with a separate mains-powered gateway in the dwelling. The latter uploads the consumption data to the project’s secure data store via the household’s broadband router (where possible) or via a cellular SIM card-enabled hub.
Figure 1 shows the number of monitoring systems contributing (any) data on any given day during the project.
![Figure 1: Electricity consumption data sample by trial group (number of systems communicating on any given day)](LoopSampleByGroup.png)
### Household attributes
As the installation process was expected to take up to 30 minutes, householders were then re-contacted either by email or telephone and invited to complete an initial recruitment survey via Computer Aided Web Interview (CAWI) or Computer Aided Telephone Interview (CATI). The average length of the CATI survey was 33 minutes covering dwelling attributes, occupant characteristics and household behaviours. In addition, to ensure basic household characteristics were current, yearly update surveys were conducted with participants.
### Time Use Diaries
Time-use diaries (CATI) were implemented on sub-samples of the trial groups as part of the trial evaluation methodology during each trial period.
## Observation unit
Individual, Family: Household family, Household, Time unit
## Kind of data:
Numeric, Text, Other
## Type of data
Experimental data , Other surveys, Time series
## Resource language
English
# Access and Administration
## Data sourcing, processing and preparation
Full data processing and cleaning information is given in the documentation provided through the UKDA ReShare facility. In summary, the archived household electricity consumption data was derived from the original Navetas (Trust Power) Loop data and is made available as a series of compressed .csv files. The household survey and time-use diary data was derived from several original project data files and are made available as a number of compressed .csv files which can be linked to the household electricity consumption data via an anonymised ID.
## Notes on access
The Data Collection is available under the UK Data Service [End User License Agreement (Safeguarded data)](https://www.ukdataservice.ac.uk/get-data/data-access-policy/safeguarded-data.aspx) for download to users registered with the UK Data Service. The data may be used for any commercial or non-commercial research purpose provided that no attempt is made to identify data subjects.
# Support
This repository will support the data made available through the UK Data Archive and will provide a resource for the raising of issues related to the use of the data provided. It will also allow data users to report issues with the data. While the originators of the data aim to provide ongoing support for its use through this facility, it is provided on a voluntary basis.
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