A new Measure-Correlate-Predict Wind Resource Prediction method

Christina Skittides, Wolf-Gerrit Fruh

Research output: Contribution to journalArticle

1 Citation (Scopus)
184 Downloads (Pure)

Abstract

We present a new MCP method to estimate the wind resource at a target site based on a short set of concurrent measurements from that site and a reference site for which also a long historical wind speed record is available. The method derives from time-series analysis methods used in nonlinear dynamical systems and uses Singular Systems Analysis to define the optimum correlation between the target and reference site, which is then used to build the model used for estimating the target site resource. The performance of this method is then applied to a set of Met.Office date from Scotland and bench-marked a basic linear-regression MCP.
Original languageEnglish
Number of pages4
JournalRenewable Energy and Power Quality Journal
Volume13
Publication statusPublished - 2015
EventInternational Conference on Renewable Energy and Power Quality - La Coruna, Spain
Duration: 25 Mar 201527 Mar 2015

Keywords

  • Wind Energy

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

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