Evaluation of the forecasting model for current, wave and wind at DanWEC

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Abstract

This report will first give an introduction to the test site and its sensor network. The DanWEC test site is situated on the North-West coast of the Danish peninsula Jutland, at Hanstholm, facing the Danish part of the North Sea. The hindcast model which is used as base for the forecast model will be introduced together with validation of the model against data from wave measuring buoys. The forecast system and the ability of the forecast to accurately predict the wave and current conditions will then be presented. A detail analysis of the accuracy of the forecast model is presented using different error metrics and analyzing the data on a seasonal and monthly basis.
Original languageEnglish
Place of PublicationAalborg
PublisherDepartment of Civil Engineering, Aalborg University
Number of pages41
Publication statusPublished - 2018
SeriesDCE Technical Reports
Number224
ISSN1901-726X

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sensor
forecast
evaluation
coast
test
analysis
measuring

Keywords

  • DanWEC
  • Forecasting model
  • Evaluation

Cite this

Têtu, A. (2018). Evaluation of the forecasting model for current, wave and wind at DanWEC. Aalborg: Department of Civil Engineering, Aalborg University. DCE Technical Reports, No. 224
Têtu, Amélie. / Evaluation of the forecasting model for current, wave and wind at DanWEC. Aalborg : Department of Civil Engineering, Aalborg University, 2018. 41 p. (DCE Technical Reports; No. 224).
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Têtu, A 2018, Evaluation of the forecasting model for current, wave and wind at DanWEC. DCE Technical Reports, no. 224, Department of Civil Engineering, Aalborg University, Aalborg.

Evaluation of the forecasting model for current, wave and wind at DanWEC. / Têtu, Amélie.

Aalborg : Department of Civil Engineering, Aalborg University, 2018. 41 p. (DCE Technical Reports; No. 224).

Research output: Book/ReportReportResearch

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Têtu A. Evaluation of the forecasting model for current, wave and wind at DanWEC. Aalborg: Department of Civil Engineering, Aalborg University, 2018. 41 p. (DCE Technical Reports; No. 224).