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Energy maps for Small and Medium Enterprises

Vukadinovic Greetham, Danica and Giasemidis, Georgios (2019). Energy maps for Small and Medium Enterprises. In: ACM e-Energy '19: Proceedings of the Tenth International Conference on Future Energy Systems.

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Recurrence Quantification Analysis (RQA) is becoming a popular technique to analyse time-series obtained from complex dynamical systems. In this work, a recently presented RQA-based method to analyse and manage energy demand at low sampling rate (5 min and 30 min) is tested using data-sets from three small enterprises. From recurrence plots, different RQA variables are obtained and analysed, following parameter optimisation that depends on a system observed. Based on RQA variables, energy maps of ‘normal’ behaviour are created. Here, preliminary robustness tests concern- ing the training phase length, missing data and noise are presented. Our test results show that this approach has great potential in energy management of small and medium enterprises.

Item Type: Conference or Workshop Item
Copyright Holders: 2019 The Authors
ISBN: 1-4503-6671-6, 978-1-4503-6671-7
Project Funding Details:
Funded Project NameProject IDFunding Body
RAE2 (Responsive Algorithmic Enterprise 2)Not SetAND Technology and Research
Keywords: recurrence quantification analysis(RQA); SME energy profiles; disaggregation
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: 61432
Depositing User: Danica Vukadinovic Greetham
Date Deposited: 24 May 2019 09:01
Last Modified: 16 Jul 2019 20:47
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