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Advisor(s)
Abstract(s)
This paper presents a methodology to forecast the hourly and daily consumption in households assisted by cyber physical systems. The methodology was validated using a database of consumption of a set of 93 domestic consumers. Forecast tools used were based on Fast Fourier Series and Generalized Reduced Gradient. Both tools were tested and their forecast results were compared. The paper shows that both tools allow obtaining satisfactory results for energy consumption forecasting. (C) 2016 The Authors. Published by Elsevier Ltd.
Description
Keywords
Energy consumption Load management Supply and demand Smart meters Predictive models
Citation
Load profile analysis tool for electrical appliances in households assisted by CPS.In 1st Energy Economics Iberian Conference (EEIC). Lisbon, Portugal: Energy Procedia. Elsevier, 2016. ISSN 1876-6102. http://ac.els-cdn.com/S1876610216316757/1-s2.0-S1876610216316757-main.pdf?_tid=8409bafa-08ad-11e7-b392-00000aacb35f&acdnat=1489492879_b0da6ee599f46ca6155fbdfcddc3fe8f. Vol. 106/Pp. 215-224
Publisher
Elsevier