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Model predictive and genetic algorithm based optimization of residential temperature control in the presence of time-varying electricity prices | IEEE Conference Publication | IEEE Xplore

Model predictive and genetic algorithm based optimization of residential temperature control in the presence of time-varying electricity prices

Publisher: IEEE

Abstract:

This paper presents an optimization and control algorithm for residential temperature regulation. Concepts from system identification, model-predictive control, and genet...View more

Abstract:

This paper presents an optimization and control algorithm for residential temperature regulation. Concepts from system identification, model-predictive control, and genetic algorithms are evoked in the pursuit of an optimization methodology capable of achieving an acceptable compromise between comfort and cost in the presence of constant as well as time-varying electricity prices. Simulation results demonstrate that the proposed approach has the potential to achieve substantial energy savings and cost reductions while maintaining acceptable comfort levels.
Date of Conference: 09-13 October 2011
Date Added to IEEE Xplore: 10 November 2011
ISBN Information:

ISSN Information:

Publisher: IEEE
Conference Location: Orlando, FL, USA

References

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