Back to Search
Start Over
Multi-Objective Air-Conditioning Control Considering Fuzzy Parameters Using Immune Clonal Selection Programming.
- Source :
- IEEE Transactions on Smart Grid; Dec2012, Vol. 3 Issue 4, p1603-1610, 8p
- Publication Year :
- 2012
-
Abstract
- 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. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 19493053
- Volume :
- 3
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Smart Grid
- Publication Type :
- Academic Journal
- Accession number :
- 84599099
- Full Text :
- https://doi.org/10.1109/TSG.2012.2210059