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Recommending energy tariffs and load shifting based on smart household usage profiling

Abstract:

We present a system and study of personalized energyrelated recommendation. AgentSwitch utilizes electricity usage data collected from users’ households over a period of time to realize a range of smart energy-related recommendations on energy tariffs, load detection and usage shifting. The web service is driven by a third party real-time energy tariff API (uSwitch), an energy data store, a set of algorithms for usage prediction, and appliance-level load disaggregation. We present the system ...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1145/2449396.2449446

Authors


Fischer, JE More by this author
Ramchurn, SD More by this author
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Department:
Exeter College
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Publisher:
Association for Computing Machinery Publisher's website
Pages:
383-394
Publication date:
2013-03-19
Acceptance date:
2012-10-15
DOI:
Pubs id:
pubs:664829
URN:
uri:a39d5c9f-93e1-4e1d-bf66-55625b813ccb
UUID:
uuid:a39d5c9f-93e1-4e1d-bf66-55625b813ccb
Local pid:
pubs:664829
ISBN:
978-1-4503-1965-2

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