A new Measure-Correlate-Predict Wind Resource Prediction method

Christina Skittides; Wolf-Gerrit Fruh

A new Measure-Correlate-Predict Wind Resource Prediction method

Christina Skittides, Wolf-Gerrit Fruh

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

330 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 language	English
Number of pages	4
Journal	Renewable Energy and Power Quality Journal
Volume	13
Publication status	Published - 2015
Event	International Conference on Renewable Energy and Power Quality - La Coruna, Spain Duration: 25 Mar 2015 → 27 Mar 2015

Keywords

Wind Energy

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "A new Measure-Correlate-Predict Wind Resource Prediction method",

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.",

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author = "Christina Skittides and Wolf-Gerrit Fruh",

year = "2015",

language = "English",

volume = "13",

journal = "Renewable Energy and Power Quality Journal",

issn = "2172-038X",

publisher = "European Association for the Development of Renewable Energies, Environment and Power Quality",

note = "International Conference on Renewable Energy and Power Quality ; Conference date: 25-03-2015 Through 27-03-2015",

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T1 - A new Measure-Correlate-Predict Wind Resource Prediction method

AU - Skittides, Christina

AU - Fruh, Wolf-Gerrit

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - Wind Energy

M3 - Article

SN - 2172-038X

VL - 13

JO - Renewable Energy and Power Quality Journal

JF - Renewable Energy and Power Quality Journal

T2 - International Conference on Renewable Energy and Power Quality

Y2 - 25 March 2015 through 27 March 2015

ER -

A new Measure-Correlate-Predict Wind Resource Prediction method

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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