Abstract
Identification of individual sources of energy consumption is one new research area that contributes to reduce electricity consumption in buildings, generate energy awareness and improve efficiency of available energy resources usage. This paper proposes a solution based on Multilayer Perceptron and the change of real power to distinguish and identify appliances from the raw load signatures directly without features extraction. Our simulation indicates that these raw load signatures can offer a quick and accurate identification.
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Cherraqi, E.B., Maach, A. (2018). Load Signatures Identification Based on Real Power Fluctuations. In: Noreddine, G., Kacprzyk, J. (eds) International Conference on Information Technology and Communication Systems. ITCS 2017. Advances in Intelligent Systems and Computing, vol 640. Springer, Cham. https://doi.org/10.1007/978-3-319-64719-7_13
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DOI: https://doi.org/10.1007/978-3-319-64719-7_13
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