Silva, C and Saraee, MH 
ORCID: https://orcid.org/0000-0002-3283-1912
2020,
Predicting average annual electricity outage using electricity distribution network operator's performance indicators
, in: 2020 Advances in Science and Engineering Technology International Conferences (ASET), 4th February-9th April 2020, Dubai, United Arab Emirates.
Abstract
Electricity Distribution network operators (DNO) may receive a monetary reward or have a penalty reliant on their performance against the target set by the regulators. Customer minutes lost (CML) is one of the primary performance indicators which lead to the financial reward or penalties. Therefore, it is paramount important to understand CML behaviour. In this study, authors are trying to accurately understand the behaviour of CML performance indicator and trying to predict the annual Customer Minutes Lost (CML) figure using other annual financial and network performance indicators such as no. of customers, Totex, Network load, etc. The overall aim of this study is to improve DNOs CML figures for better performance. The exploratory case study research methodology has been used for this study with two distinct case studies from the UK and Australia. Correlation methods and regression models were built and analysed to find the correlation and linear relationship between the variables.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Schools: | Schools > School of Computing, Science and Engineering |
| Journal or Publication Title: | 2020 Advances in Science and Engineering Technology International Conferences (ASET) |
| Publisher: | IEEE |
| ISBN: | 9781728146409 |
| Related URLs: | |
| Depositing User: | USIR Admin |
| Date Deposited: | 02 Oct 2020 14:32 |
| Last Modified: | 27 Aug 2021 21:45 |
| URI: | https://usir.salford.ac.uk/id/eprint/58442 |
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