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.
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The authors would like to acknowledge the funding provide by Building Research Establishment (BRE) and the Smart Systems Research Team based at the University of Hertfordshire.
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Lalani, AA., Mistretta, E., Siau, J. (2017). Intelligent Signal Processing for the Use in Device Identification Using Smart Sockets. In: Lau, E., et al. Smart Grid Inspired Future Technologies. SmartGift 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 203. Springer, Cham. https://doi.org/10.1007/978-3-319-61813-5_8
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DOI: https://doi.org/10.1007/978-3-319-61813-5_8
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