Title :
Electrical power anticipation for Smart Home Product based on evolutionary algorithms
Author_Institution :
Zhejiang Bus. Technol. Inst., China
Abstract :
In artificial intelligence, anticipation is the concept of an agent making decisions based on predictions, expectations, or beliefs about the future states. It is widely recognized that anticipation is a vital component of complex natural cognitive systems. Anticipation seems to be suitable for key role in design and realization of anticipatory behavior. In this paper, a briefly description of the Power Management in Smart Home Product (PMSHP) simulator is given. We present an overview about the used types of the evolutionary algorithms. The evaluation of the simulator with and without anticipation is presented, where anticipation is based on evolutionary algorithms.
Keywords :
artificial intelligence; cognitive systems; evolutionary computation; power engineering computing; agent making decisions; artificial intelligence; electrical power anticipation; evolutionary algorithms; natural cognitive systems; power management; smart home product; Prediction algorithms; Predictive models; Electrical Power Anticipation; Evolutionary Algorithms; Smart Home Product;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5565071