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dc.contributor.authorBhanot, Surekha-
dc.date.accessioned2023-02-09T06:55:54Z-
dc.date.available2023-02-09T06:55:54Z-
dc.date.issued2011-
dc.identifier.urihttp://www.iaeng.org/publication/WCECS2011/WCECS2011_pp106-111.pdf-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9101-
dc.description.abstractManagement 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.en_US
dc.language.isoenen_US
dc.publisherWCECSen_US
dc.subjectEEEen_US
dc.subjectTemporal responseen_US
dc.subjectHuman behavior mappingen_US
dc.subjectRecurrent neural network (RNN)en_US
dc.subjectSingle layer perceptron modelen_US
dc.titleSmart Home System Design based on Artificial Neural Networksen_US
dc.typeArticleen_US
Appears in Collections:Department of Electrical and Electronics Engineering

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