Energy behaviour change model validation

Energy behaviour change model validation

This dataset includes psychological data (environmental values, success expectancy, perceived barriers for pro-environmental behaviour, general energy literacy) and electricity consumption data for 20 households in Exeter, UK. This dataset was created within the ENLITEN project funded by EPSRC (grant number EP/K002724/1)

Cite this dataset as:
Mogles, N., Gabe-Thomas, E., 2017. Energy behaviour change model validation. University of Bath. https://doi.org/10.15125/BATH-00193.

Export

Data

energy_model_validation.xlsx
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (59kB)
Creative Commons: Attribution 4.0

Survey results data

Code

energy_beh_change_model.m
text/plain (7kB)
Creative Commons: Attribution 4.0

Code of the model developed in MATLAB

Creators

Nataliya Mogles
University of Bath

Contributors

Jeehang Lee
Data Collector
University of Bath

University of Bath
Rights Holder

Coverage

Collection date(s):

From 1 February 2014 to 20 December 2015

Geographical coverage:

Exeter, UK

Documentation

Technical details and requirements:

The conceptual model described in the paper, “A Cognitive Agent-Based Model for Energy Behaviour Change Interventions” (Mogles, N., Padget, J., Gabe-Thomas, E., Walker, I., Lee, J.) was implemented in the MATLAB environment. The file containing the code for running model simulations is called energy_beh_change_model.m and it was run using MATLAB version MATLAB_R2014b.

Documentation Files

Values_survey_description.docx
application/vnd.openxmlformats-officedocument.wordprocessingml.document (27kB)
Creative Commons: Attribution 4.0

Methodology behind the values measurements

README_files.docx
application/vnd.openxmlformats-officedocument.wordprocessingml.document (25kB)
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Documentation of survey data structure and other file contents

Templates

EnergyLiteracy_survey.docx
application/vnd.openxmlformats-officedocument.wordprocessingml.document (79kB)
Creative Commons: Attribution 4.0

Energy literacy survey template

expectancy_barr ... ers_survey.docx
application/vnd.openxmlformats-officedocument.wordprocessingml.document (77kB)
Creative Commons: Attribution 4.0

Expectancy and barriers survey template

value_messagesv4a.docx
application/vnd.openxmlformats-officedocument.wordprocessingml.document (22kB)
Creative Commons: Attribution 4.0

Value-framed messages survey template, version A

value_messagesv4b.docx
application/vnd.openxmlformats-officedocument.wordprocessingml.document (22kB)
Creative Commons: Attribution 4.0

Value-framed messages survey template, version B

values_survey.docx
application/vnd.openxmlformats-officedocument.wordprocessingml.document (33kB)
Creative Commons: Attribution 4.0

Internal values measurement survey template

Legal and Ethical Documents

Main_study_consent_form.pdf
application/pdf (229kB)
Creative Commons: Attribution 4.0

Consent form used for the participants of a field experiment in Exeter

ConsentForm_community.docx
application/vnd.openxmlformats-officedocument.wordprocessingml.document (26kB)
Creative Commons: Attribution 4.0

Consent form used for the participants in a community centre, university and a local café

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: 18 December 2017
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00193

URL for this record: https://researchdata.bath.ac.uk/id/eprint/193

Related articles

Mogles, N., Padget, J., Gabe-Thomas, E., Walker, I. and Lee, J.H., 2017. A computational model for designing energy behaviour change interventions. User Modeling and User-Adapted Interaction, 28(1), pp.1-34. Available from: https://doi.org/10.1007/s11257-017-9199-9.

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