eprintid: 244
rev_number: 15
eprint_status: archive
userid: 7
dir: disk0/00/00/02/44
datestamp: 2009-10-19 09:44:00
lastmod: 2015-05-29 19:51:21
status_changed: 2009-10-19 09:44:00
type: report
metadata_visibility: show
item_issues_count: 0
creators_name: Andrade, Violeta
creators_name: Avramidis, Thanos
creators_name: Dewynne, Jeff
creators_name: Howison, Sam
creators_name: Lacey, Andrew
creators_name: Licea, Daniela
creators_name: Patidar, Sandhya
creators_name: Pototsky, Andrey
creators_name: Smith, Honora
creators_name: Tambue, Antoine
creators_name: Allwright, David
corp_creators: Tom Allerton
title: Wind farm output
ispublished: pub
subjects: utilities
studygroups: esgi64
companyname: E.ON Engineering
full_text_status: public
abstract: The problem was to devise a simulation method for the wind speeds at a set of sites, that has the correct autocorrelation, cross-correlation and distributions. The report includes one way of doing this, using a multivariate auto-regressive system, and other comments and observations that may lead to better ways of achieving the aim.
date: 2008
related_url_url: http://www.smithinst.ac.uk/Projects/ESGI64/ESGI64-EON/Report
citation:   Andrade, Violeta and Avramidis, Thanos and Dewynne, Jeff and Howison, Sam and Lacey, Andrew and Licea, Daniela and Patidar, Sandhya and Pototsky, Andrey and Smith, Honora and Tambue, Antoine and Allwright, David  (2008) Wind farm output.  [Study Group Report]     
document_url: http://miis.maths.ox.ac.uk/miis/244/1/EON-SimulatingWindFarmOutputs.pdf