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.

DOI: https://doi.org/10.1145/3307772.3330164

Abstract

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.

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About

• Item ORO ID
• 61432
• Item Type
• Conference or Workshop Item
• ISBN
• 1-4503-6671-6, 978-1-4503-6671-7
• Project Funding Details

• Funded Project Name	Project ID	Funding Body
  RAE2 (Responsive Algorithmic Enterprise 2)	Not Set	AND Technology and Research

• Keywords
• recurrence quantification analysis(RQA); SME energy profiles; disaggregation
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Copyright Holders
• © 2019 The Authors
• Depositing User
• Danica Vukadinovic Greetham