relation: http://miis.maths.ox.ac.uk/miis/39/
title: Prediction of power generation from a wind farm
creator: Whiten, Bill
creator: Tsoularis, Tasos
subject: Energy and utilities
description: Wind farms produce a variable power output depending on the wind speed. For management of power networks and for bidding for the supply of power, the future power available needs to be predicted for time intervals ahead of a few minutes to about 24 hours.  This project used data from a wind farm and three meteorological stations to determine methods and ability to predict wind speed. Analyses using regression, neural networks, and a Kalman filter were examined. Prediction using a combination of local wind measure-ments and meteorological data appears to give the best results.
date: 2004
type: Study Group Report
type: NonPeerReviewed
format: application/pdf
language: en
identifier: http://miis.maths.ox.ac.uk/miis/39/1/misg2004wind.pdf
format: application/pdf
language: en
identifier: http://miis.maths.ox.ac.uk/miis/39/2/misg2004wind_efs.pdf
identifier:   Whiten, Bill and Tsoularis, Tasos  (2004) Prediction of power generation from a wind farm.  [Study Group Report]     
relation: http://miis.maths.ox.ac.uk/past/MISG/2004/