Abstract
In this paper we introduce a new prediction method of personal power consumption using the moving average technique. Unlike typical methods, our method considers the trend of consumer’s statistical power consumption changes for estimating the statistical future power consumption. In the simulation section, we verify that the performance of our method is better than that of typical method.
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Kim, J., Kang, S., Kim, HM. (2010). Prediction of Personal Power Consumption Using the Moving Average Technique. In: Kim, Th., Stoica, A., Chang, RS. (eds) Security-Enriched Urban Computing and Smart Grid. SUComS 2010. Communications in Computer and Information Science, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16444-6_29
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DOI: https://doi.org/10.1007/978-3-642-16444-6_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16443-9
Online ISBN: 978-3-642-16444-6
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