Vukadinovic Greetham, Danica and Giasemidis, Georgios
(2019).
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Abstract
Using the data from three small businesses, we are investigating robustness of the recently proposed Recurrence Quantitive Analysis (RQA) based method for energy management of small and medium enterprises. The method consists of two phases, the training phase where the map or maps 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 |
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| Copyright Holders: | 2019 IEEE |
| Keywords: | recurrence quantification analysis; RQA; energy management; energy profiles; smart meters; small and medium enterprises; SMEs; visualisation; 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) |
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| Item ID: | 61689 |
| Depositing User: | Danica Vukadinovic Greetham |
| Date Deposited: | 17 Jun 2019 08:03 |
| Last Modified: | 07 Sep 2019 03:25 |
| URI: | http://oro.open.ac.uk/id/eprint/61689 |
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