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Taylor Law in Wind Energy Data

EA 4935, LARGE Laboratoire en Géosciences et Énergies, Université des Antilles, 97159 Pointe-à-Pitre, Guadeloupe, France
CNRS, UMR 8187 LOG Laboratoire d’Océanologie et de Géosciences, Université de Lille 1, 28 avenue Foch, Wimeureux 62930, France
Author to whom correspondence should be addressed.
Academic Editor: Witold-Roger Poganietz
Resources 2015, 4(4), 787-795;
Received: 29 May 2015 / Revised: 14 September 2015 / Accepted: 19 October 2015 / Published: 27 October 2015
(This article belongs to the Special Issue Alternative Energy Sources in Developing and Developed Regions)
The Taylor power law (or temporal fluctuation scaling), is a scaling relationship of the form σ ~ (P)λ where !! is the standard deviation and hPi the mean value of a sample of a time series has been observed for power output data sampled at 5 min and 1 s and from five wind farms and a single wind turbine, located at different places. Furthermore, an analogy with the turbulence field is performed, consequently allowing the establishment of a scaling relationship between the turbulent production IP and the mean value (P). View Full-Text
Keywords: Taylor power law; temporal fluctuation scaling; wind energy; wind farms; wind turbine Taylor power law; temporal fluctuation scaling; wind energy; wind farms; wind turbine
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MDPI and ACS Style

Calif, R.; Schmitt, F.G. Taylor Law in Wind Energy Data. Resources 2015, 4, 787-795.

AMA Style

Calif R, Schmitt FG. Taylor Law in Wind Energy Data. Resources. 2015; 4(4):787-795.

Chicago/Turabian Style

Calif, Rudy, and François G. Schmitt. 2015. "Taylor Law in Wind Energy Data" Resources 4, no. 4: 787-795.

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