Smart Thermostat Dataset
Smart Thermostat Dataset
Smart energy systems are becoming increasingly ubiquitous, and consequently transforming our lives. Domestic energy use is one of the most talked-about domains where people may greatly benefit from these systems. Given this, it is important to understand interactions with smart energy systems within people's everyday lives. To this end, we developed and deployed the first heating system that allows its users to control their home heating with real-time prices. In particular, we implemented three different designs of our heating system, and evaluated them with 30 UK households in a four-week in the wild study.
This dataset contains anonymous quantitative data from the deployment of these three designs.
University of Southampton
Alan, Alper Turan
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Shann, Mike
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Costanza, Enrico
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Ramchurn, Sarvapali
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Seuken, Sven
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Alan, Alper Turan
11e8f4fa-33de-4dc0-ab80-d69741875ab2
Shann, Mike
7e4d10b2-55a8-49ff-9e9c-6f88c81700f8
Costanza, Enrico
0868f119-c42e-4b5f-905f-fe98c1beeded
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
Seuken, Sven
45bbca4b-8b03-47b2-b37c-fc86f39ab15a
Alan, Alper Turan, Shann, Mike, Costanza, Enrico, Ramchurn, Sarvapali and Seuken, Sven
(2016)
Smart Thermostat Dataset.
University of Southampton
doi:10.5258/SOTON/385589
[Dataset]
Abstract
Smart energy systems are becoming increasingly ubiquitous, and consequently transforming our lives. Domestic energy use is one of the most talked-about domains where people may greatly benefit from these systems. Given this, it is important to understand interactions with smart energy systems within people's everyday lives. To this end, we developed and deployed the first heating system that allows its users to control their home heating with real-time prices. In particular, we implemented three different designs of our heating system, and evaluated them with 30 UK households in a four-week in the wild study.
This dataset contains anonymous quantitative data from the deployment of these three designs.
Spreadsheet
all_data_log.xlsx
- Dataset
More information
Published date: 2016
Organisations:
Electronics & Computer Science, Agents, Interactions & Complexity
Projects:
HUMAN-AGENT COLLECTIVES: FROM FOUNDATIONS TO APPLICATIONS [ORCHID]
Funded by: UNSPECIFIED (EP/I011587/1)
1 January 2011 to 31 December 2015
Identifiers
Local EPrints ID: 385589
URI: http://eprints.soton.ac.uk/id/eprint/385589
PURE UUID: b193a67d-9fe7-4955-be1b-98886671a86a
Catalogue record
Date deposited: 07 Jan 2016 11:15
Last modified: 05 Nov 2023 02:40
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Contributors
Creator:
Alper Turan Alan
Creator:
Mike Shann
Creator:
Enrico Costanza
Creator:
Sarvapali Ramchurn
Creator:
Sven Seuken
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