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