Journal
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
Volume 49, Issue 3, Pages 1137-1145Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIA.2013.2252873
Keywords
Genetic algorithm (GA); home automation; home energy management; model-predictive control; real-time pricing (RTP)
Funding
- Opportunities Research Scholars program at the Georgia Institute of Technology, Atlanta, GA, USA
- U.S. National Science Foundation [ECCS GOALI 0802047]
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This paper presents an optimal control algorithm for residential temperature regulation. The combination of concepts from system identification, model-predictive control, and genetic algorithms result in 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 with minimal consumer participation.
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