May 2018
Intermediate to advanced
492 pages
15h 21m
English
Guido Coletta⁎; Alfredo Vaccaro⁎; Domenico Villacci⁎; Ahmed F. Zobaa† ⁎ University of Sannio, Benevento, Italy† Brunel University, Uxbridge, United Kingdom
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 ...