Smart Grid Inspired Future Technologies. Second EAI International Conference, SmartGIFT 2017, London, UK, March 27–28, 2017, Proceedings

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
Al-Azhar Lalani1,*, Emilio Mistretta1,*, Johann Siau1,*
  • 1: University of Hertfordshire
*Contact email: a.lalani@herts.ac.uk, e.mistretta@herts.ac.uk, j.siau@herts.ac.uk

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.