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Adaptive Home Heating Control Through Gaussian Process Prediction and Mathematical Programming

Record type: Conference or Workshop Item (Paper)

In this paper, we address the challenge of adaptively controlling a home heating system in order to minimise cost and carbon emissions within a smart grid. Our home energy management agent learns the thermal properties of the home, and uses Gaussian processes to predict the environmental parameters over the next 24 hours, allowing it to provide real time feedback to householders concerning the cost and carbon emissions of their heating preferences. Furthermore, we show how it can then use a mixed-integer quadratic program, or a computationally efficient greedy heuristic, to adapt to real-time cost and carbon intensity signals, adjusting the timing of heater use in order to satisfy preferences for comfort whilst minimising cost and carbon emissions. We evaluate our approach using weather and electricity grid data from January 2010 for the UK, and show our approach can predict the total cost and carbon emissions over a day to within 9%, and show that over the month it reduces cost and carbon emissions by 15%, and 9%, respectively, compared to using a conventional thermostat.

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Citation

Rogers, Alex, Maleki, Sasan, Ghosh, Siddhartha and Jennings, Nicholas R, (2011) Adaptive Home Heating Control Through Gaussian Process Prediction and Mathematical Programming At Second International Workshop on Agent Technology for Energy Systems (ATES 2011), Taiwan, Province of China. , pp. 71-78.

More information

Published date: 2 May 2011
Additional Information: Event Dates: May 2011
Venue - Dates: Second International Workshop on Agent Technology for Energy Systems (ATES 2011), Taiwan, Province of China, 2011-05-02
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 272235
URI: http://eprints.soton.ac.uk/id/eprint/272235
PURE UUID: 7abcc907-2e4f-41a4-8586-c9a821982bda

Catalogue record

Date deposited: 28 Apr 2011 22:34
Last modified: 18 Jul 2017 06:33

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Contributors

Author: Alex Rogers
Author: Sasan Maleki
Author: Siddhartha Ghosh
Author: Nicholas R, Jennings

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