Research Article
Intelligent Signal Processing for the Use in Device Identification Using Smart Sockets
@INPROCEEDINGS{10.1007/978-3-319-61813-5_8, author={Al-Azhar Lalani and Emilio Mistretta and Johann Siau}, title={Intelligent Signal Processing for the Use in Device Identification Using Smart Sockets}, proceedings={Smart Grid Inspired Future Technologies. Second EAI International Conference, SmartGIFT 2017, London, UK, March 27--28, 2017, Proceedings}, proceedings_a={SMARTGIFT}, year={2017}, month={9}, keywords={Smart socket Signal processing Pattern recognition Smart meters Energy monitoring}, doi={10.1007/978-3-319-61813-5_8} }- Al-Azhar Lalani
Emilio Mistretta
Johann Siau
Year: 2017
Intelligent Signal Processing for the Use in Device Identification Using Smart Sockets
SMARTGIFT
Springer
DOI: 10.1007/978-3-319-61813-5_8
Abstract
In an era, that has seen an increase in smart socket adoption in homes, greater sensor data acquisition and data analytics within the Internet of things (IoT) platforms; new developments in hardware design and converging sensor data with big data introduces new research opportunities in the energy sector. Smart meters currently provide an overall energy usage for a household, by introducing socket level identification of electrical devices an itemised bill or detailed breakdown for device type or category can be achieved. Voltage and current waveforms extracted from sensors within a smart socket is processed using signal processing techniques for the use of pattern recognition. Experimental results for single device identification show that a low equal error rate can be achieved, therefore, increasing the likelihood of a successful device recognition.
