Application of cluster analysis for enhancing power consumption awareness in smart grids
Guido Coletta⁎; Alfredo Vaccaro⁎; Domenico Villacci⁎; Ahmed F. Zobaa† ⁎ University of Sannio, Benevento, Italy† Brunel University, Uxbridge, United Kingdom
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 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 ...
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