Conference Proceedings

Knowledge-Mining the Australian Smart Grid Smart City Data: A Statistical-Neural Approach to Demand-Response Analysis

Omid Motlagh, Greg Foliente, George Grozev, S Geertman (ed.), J Ferreira (ed.), R Goodspeed (ed.), J Stillwell (ed.)

PLANNING SUPPORT SYSTEMS AND SMART CITIES | SPRINGER-VERLAG BERLIN | Published : 2015

Abstract

Large scale field trials of smart grid technologies provide important insights as they capture the complex interdependencies of all the key variables, including consumer behaviours, which are needed for their effective evaluation. We present the Australian Smart Grid Smart City program and describe its big data using a narrative approach to hasten understanding and further analyses by others. Then we present a novel statistical-neural approach to maximise knowledge extraction from large datasets of diurnal load profiles, and demonstrate its use in evaluating the effectiveness of two cost-reflective product offerings, a Network-type and a Retail-type product bundle. The methods of analyses in..

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University of Melbourne Researchers