?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fmiis.maths.ox.ac.uk%2Fmiis%2F729%2F&rft.title=Short+term+power+forecasts+for+large+offshore+wind+turbine+arrays&rft.creator=Benjamin%2C+Oscar&rft.creator=Mina%2C+Petros&rft.creator=Arany%2C+Laszlo&rft.creator=Connaughton%2C+Colm&rft.creator=Cox%2C+Sam&rft.creator=Kresoja%2C+Milena&rft.creator=Shukla%2C+Abhishek&rft.creator=Wheatcroft%2C+Ed&rft.creator=Tull%2C+James&rft.creator=Groth%2C+Samuel&rft.creator=Jenkins%2C+Sian&rft.creator=Budd%2C+Chris&rft.creator=Smith%2C+Leonard&rft.subject=Environment&rft.subject=Energy+and+utilities&rft.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%2C+data+assimilation%2C+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.&rft.date=2013&rft.type=Study+Group+Report&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.language=en&rft.identifier=http%3A%2F%2Fmiis.maths.ox.ac.uk%2Fmiis%2F729%2F1%2FESGI91-Garad_CaseStudy.pdf&rft.identifier=++Benjamin%2C+Oscar+and+Mina%2C+Petros+and+Arany%2C+Laszlo+and+Connaughton%2C+Colm+and+Cox%2C+Sam+and+Kresoja%2C+Milena+and+Shukla%2C+Abhishek+and+Wheatcroft%2C+Ed+and+Tull%2C+James+and+Groth%2C+Samuel+and+Jenkins%2C+Sian+and+Budd%2C+Chris+and+Smith%2C+Leonard++(2013)+Short+term+power+forecasts+for+large+offshore+wind+turbine+arrays.++%5BStudy+Group+Report%5D+++++