Smart Home System Design based on Artificial Neural Networks

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Date

2011

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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.

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Keywords

EEE, Temporal response, Human behavior mapping, Recurrent neural network (RNN), Single layer perceptron model

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