Please use this identifier to cite or link to this item:
http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/9101
Title: | Smart Home System Design based on Artificial Neural Networks |
Authors: | Bhanot, Surekha |
Keywords: | EEE Temporal response Human behavior mapping Recurrent neural network (RNN) Single layer perceptron model |
Issue Date: | 2011 |
Publisher: | WCECS |
Abstract: | Management and security of electric power plays a key role in economy and sustainable development. The major concerns in optimal usage of Power are reduction in wastage and creating intelligent switching systems to make optimal use of the power available. This paper proposes an adaptive smart home system for optimal utilization of power, through Artificial Neural Network (ANN). The system proposed comprises of a Recurrent Neural Network to capture Human behavior patterns and a Feed Forward Architecture in ANN for security applications in the smart homes. The technique is used to minimize the power wastage by studying and adapting to the consumption behavior patterns of the consumers. |
URI: | http://www.iaeng.org/publication/WCECS2011/WCECS2011_pp106-111.pdf http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9101 |
Appears in Collections: | Department of Electrical and Electronics Engineering |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.