Abstract:
This paper presents an optimization and control algorithm for residential temperature regulation. Concepts from system identification, model-predictive control, and genet...View moreMetadata
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.
Published in: 2011 IEEE Industry Applications Society Annual Meeting
Date of Conference: 09-13 October 2011
Date Added to IEEE Xplore: 10 November 2011
ISBN Information: