The MIIS Eprints Archive

Short term power forecasts for large offshore wind turbine arrays

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]



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.

Item Type:Study Group Report
Problem Sectors:Environment
Energy and utilities
Study Groups:European Study Group with Industry > ESGI 91 (Bristol, UK, 15-19 April 2013)
Company Name:GL Garad Hassan
ID Code:729
Deposited By: Bogdan Toader
Deposited On:27 May 2018 18:02
Last Modified:27 May 2018 18:02

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