Abstract
Finding means to encourage consumers to monitor their energy use is an important step toward optimizing on depleting natural resources used for energy production. The current proposal employs cloud computing and machine learning to analyze energy data collected from a nonintrusive IoT system to display energy consumption from several appliances connected to the same power line. For scalability purpose, all collected data from sensors are processed on the cloud and useful information such as appliance monitored and energy consumed can easily be accessed on a mobile app. Preliminary results indicate that the proposed system promises to be a suitable alternative for traditional monitoring systems to deliver instant and historical energy consumption data to consumers, who can, in turn, adopt efficient and smarter ways to use energy.
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Acknowledgements
Special thanks goes to Mr. Y. Beeharry from the University of Mauritius FoICDT computer lab for his valuable advice during the implementation phase of the prototype.
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Nasroollah, Z., Moonsamy, I., Chuttur, Y. (2019). A Cloud-Based Energy Monitoring System Using IoT and Machine Learning. In: Satapathy, S., Bhateja, V., Somanah, R., Yang, XS., Senkerik, R. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 863. Springer, Singapore. https://doi.org/10.1007/978-981-13-3338-5_16
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DOI: https://doi.org/10.1007/978-981-13-3338-5_16
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