Title :
Scale Invariance and Long-Range Dependence in Smart Energy Grids
Author :
Levorato, Marco ; Mitra, U.
Author_Institution :
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
The shift from the traditional energy grid to the SmartGrid makes the features of scale invariance and long-range dependence, traditionally examined in reference to communication networks, extremely relevant to the modeling, analysis and design of modern energy grids. The present paper reviews mathematical concepts and tools central for the understanding and analysis of these phenomena and contextualizes them to the energy scenario. The framework proposed herein enables, in addition to a more accurate modeling and design of smart energy grids, the definition of novel algorithms for the detection of events, e.g., anomalies, in SmartGrids.
Keywords :
smart power grids; telecommunication networks; communication networks; energy grid design; event detection algorithm; long-range dependence; scale invariance; smart energy grid design; Algorithm design and analysis; Correlation; Energy consumption; Estimation; Pricing; Stochastic processes; Transforms;
Conference_Titel :
Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), 2012 Asia-Pacific
Conference_Location :
Hollywood, CA
Print_ISBN :
978-1-4673-4863-8
