Dataset for 'How smart do smart meters need to be?'

Dataset for 'How smart do smart meters need to be?'

This dataset consists of three subsets that represent several variables related to energy consumption in 43 households in the UK: 1) households' internal temperature, CO2 level, gas and electricity consumption before, during and after digital energy feedback phase; 2) energy literacy before and after the digital feedback; 3) user experience data after the digital energy feedback interventions.

Subjects:
Design
Energy
Information and communication technologies

Cite this dataset as:
Mogles, N., Walker, I., Ramallo-González, A., Lee, J., Natarajan, S., Padget, J., Gabe-Thomas, E., Hyniewska, S., Lovett, T., Ren, G., O'Neill, E., Hourizi, R., Coley, D., 2016. Dataset for 'How smart do smart meters need to be?'. University of Bath. https://doi.org/10.15125/BATH-00256.

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Data

ibert_study_QuadStat_full.csv
text/plain (12kB)
Creative Commons: Attribution 4.0

finalData.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (17kB)
Creative Commons: Attribution 4.0

energy_literacy ... data_before.csv
text/plain (628B)
Creative Commons: Attribution 4.0

survey_data_lit ... atisfaction.csv
text/plain (2kB)
Creative Commons: Attribution 4.0

common.zip
application/zip (37kB)
Creative Commons: Attribution 4.0

Creators

Nataliya Mogles
University of Bath

Ian Walker
University of Bath

Alfonso Ramallo-González
University of Bath

Jeehang Lee
University of Bath

Sukumar Natarajan
University of Bath

Julian Padget
University of Bath

Elizabeth Gabe-Thomas
University of Bath

Sylwia Hyniewska
University of Bath

Tom Lovett
University of Bath

Gang Ren
University of Bath

Eamonn O'Neill
University of Bath

Rachid Hourizi
University of Bath

David Coley
University of Bath

Coverage

Collection date(s):

From 9 December 2015 to 31 July 2016

Geographical coverage:

Exeter, UK

Documentation Files

README_data.docx
application/vnd.openxmlformats-officedocument.wordprocessingml.document (11kB)
Creative Commons: Attribution 4.0

FinalData_README.docx
application/vnd.openxmlformats-officedocument.wordprocessingml.document (12kB)
Creative Commons: Attribution 4.0

Funders

Engineering and Physical Sciences Research Council (EPSRC)
http://dx.doi.org/10.13039/501100000266

Energy Literacy through an Intelligent Home Energy Advisor ENLITEN
EP/K002724/1

Publication details

Publication date: 1 October 2016
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00256

URL for this record: https://researchdata.bath.ac.uk/id/eprint/256

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Nataliya Mogles

Departments:

Faculty of Engineering & Design
Architecture & Civil Engineering

Faculty of Humanities & Social Sciences
Psychology

Faculty of Science
Computer Science