Analysis of local demand trends and forecasting through weather correction and benefit to DSO transistion and microgrids Analysis of local demand trends and forecasting through weather correction and benefit to DSO transition and microgrids

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Paper number
0415
Working Group Number
Conference name
CIRED 2018 Ljubljana Workshop
Conference date
7 - 8 June 2018
Conference location
Ljubljana, Slovenia
Peer-reviewed
Yes
Short title
Convener
Authors
Fox, Jonathan, SP Energy Networks, United Kingdom
Plecas, Milana, SP Energy Networks, United Kingdom
Neilson, David, SP Energy Networks, United Kingdom
Cannon, Dirk, Digital Engineering, United Kingdom
Parr, James, Digital Engineering, United Kingdom
Abstract
This paper presents the methodology for separating the effect of weather patterns and customer behaviour on peak demand at a local, primary substation level. It uses real data from SP Energy Networks (SPEN), a UK Distribution Network Operator (DNO), and a demand model developed by Digital Engineering Limited. The innovation presented in this paper is the use of Numerical Weather Prediction Models and Machine Learning techniques to undertake weather correction at a local level. This has benefits for network planning, flexibility in distribution networks and the development of microgrids.
Table of content
Keywords
Publisher
AIM
Date
2018-06-07
Permanent link to this record
https://www.cired-repository.org/handle/20.500.12455/1115
http://dx.doi.org/10.34890/134
ISSN
2032-9628
ISBN
978-2-9602415-1-8