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Thesis

Reducing domestic energy consumption through behaviour modification

Abstract:

This thesis presents the development of techniques which enable appliance recognition in an Advanced Electricity Meter (AEM) to aid individuals reduce their domestic electricity consumption. The key aspect is to provide immediate and disaggregated information, down to appliance level, from a single point of measurement.

Three sets of features including the short term time domain, time dependent finite state machine behaviour and time of day are identified by monitoring step changes ...

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Research group:
Electrical Power Group
Oxford college:
Christ Church
Role:
Author

Contributors

Division:
MPLS
Department:
Engineering Science
Role:
Supervisor
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Name:
Engineering and Physical Sciences Research Council
Funding agency for:
Ford, R
Publication date:
2009
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
Oxford University, UK
Language:
English
Keywords:
Subjects:
UUID:
uuid:ac11b371-82e3-4091-930c-ff0b28b9704e
Local pid:
ora:11625
Deposit date:
2015-06-10

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