relation: http://miis.maths.ox.ac.uk/miis/729/
title: Short term power forecasts for large offshore wind turbine arrays
creator: Benjamin, Oscar
creator: Mina, Petros
creator: Arany, Laszlo
creator: Connaughton, Colm
creator: Cox, Sam
creator: Kresoja, Milena
creator: Shukla, Abhishek
creator: Wheatcroft, Ed
creator: Tull, James
creator: Groth, Samuel
creator: Jenkins, Sian
creator: Budd, Chris
creator: Smith, Leonard
subject: Environment
subject: Energy and utilities
description: Methods are presented for precise prediction of windspeeds at a wind- farm using a combination of numerical weather prediction models and on-site wind speed measurements. Simple techniques are used to inves- tigate the properties of the data. More advanced techniques are tested for the predictive value in forecasting including techniques from autore- gressive models, data assimilation, artificial neural networks and kernel dressing. The performance of the resulting forecasts are compared with the measured wind speeds using a range of forecast windows.
date: 2013
type: Study Group Report
type: NonPeerReviewed
format: application/pdf
language: en
identifier: http://miis.maths.ox.ac.uk/miis/729/1/ESGI91-Garad_CaseStudy.pdf
identifier:   Benjamin, Oscar and Mina, Petros and Arany, Laszlo and Connaughton, Colm and Cox, Sam and Kresoja, Milena and Shukla, Abhishek and Wheatcroft, Ed and Tull, James and Groth, Samuel and Jenkins, Sian and Budd, Chris and Smith, Leonard  (2013) Short term power forecasts for large offshore wind turbine arrays.  [Study Group Report]