Referenced Items are not available for this document.
Smart home integrates disaster protection, medical care, entertainment and energy-saving systems, making the living environment more secure and comfortable. This paper investigates the demand response achieved by the “smart energy management system” in a smart home environment, and aims to obtain the optimal temperature scheduling for air-conditioning according to the day-ahead electricity price and outdoor temperature forecasts. Because the retail electricity price and temperature are predicted 24 h in advance and there exists uncertainty, the predicted retail electricity prices and temperatures are modeled by the fuzzy set. The immune clonal selection programming is employed to determine the day-ahead 24-h temperature schedule for air-conditioning. The electricity expense is hence minimized while comfort is still retained. The simulation result shows the applicability of the proposed method.
Published in:
Smart Grid, IEEE Transactions on
(Volume:3
,
Issue:
4
)
Date of Publication: Dec. 2012
- Page(s):
- 1603 - 1610
- ISSN :
- 1949-3053
- INSPEC Accession Number:
- 13190969
- Digital Object Identifier :
- 10.1109/TSG.2012.2210059
- Product Type:
- Journals & Magazines
- Date of Publication :
- 03 September 2012
- Date of Current Version :
- 28 December 2012
- Issue Date :
- Dec. 2012
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