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Investigating Robustness of Energy Management Maps for SMEs

Vukadinović Greetham, Danica and Giasemidis, Georgios (2019). Investigating Robustness of Energy Management Maps for SMEs. In: 2019 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET), article no. 8882675.

DOI (Digital Object Identifier) Link: https://doi.org/10.1109/PGSRET.2019.8882675
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Abstract

Using the data from three small businesses, we are investigating robustness of the recently proposed Recurrence Quantitative Analysis (RQA) based method for energy management of small and medium enterprises. The method consists of two phases, the training phase where the map(s) of "usual" behaviour is obtained, and the operational phase where the new data is tested against the existing map(s). We measure how the output changes when there is a small change in input, with respect to the sampling rate, missing data and noise. Our results over three qualitatively different datasets show that the method is relatively robust and can be used for different SMEs.

Item Type: Conference or Workshop Item
Copyright Holders: 2019 IEEE
Keywords: recurrence quantification analysis (RQA); energy management; energy profiles; smart meters; small and medium enterprises; visualisation; robustness; missing data
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 68291
Depositing User: ORO Import
Date Deposited: 29 Nov 2019 11:42
Last Modified: 29 Nov 2019 11:57
URI: http://oro.open.ac.uk/id/eprint/68291
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