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|Title:||[AAM REQ publisher permission LKR 28/06/2018] Application of cluster analysis for enhancing power consumption awareness in smart grids|
|Citation:||Application of Smart Grid Technologies Case Studies in Saving Electricity in Different Parts of the World, 2018, pp. 397 - 414|
|Abstract:||The conceptualization of computing paradigms aimed at converting the power demand data into actionable information, allowing the prosumer to have a full understanding of the available information, represents a timely and relevant issue to address in the context of the future smart grids. In the light of this need, this Chapter outlines the potential role of self-organizing models based on clustering analysis for classifying the load profiles, correlating them with the endogenous measured variables, and identifying irregularities in energy consumptions. The benefits deriving by the application of the proposed framework on complex load patterns have been assessed by detailed experimental results obtained on a real case study. Keywords: load monitoring, situational awareness, smart grids computing, data clustering, data driven techniques.|
|Appears in Collections:||Dept of Electronic and Computer Engineering Embargoed Research Papers|
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