The use of wind probability distributions derived from the maximum entropy principle in the analysis of wind energy. A case study

By P. Ramírez, José A. Carta. 2006

142 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Environmental Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c0130225b1f23ce4f4568858675d12585a3c6323

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Bo-Suk Yang
2. Min-Chan Shim
3. Wahyu Caesarendra
4. Achmad Widodo
5. J. Waewsak

In Environmental Engineering

1. Bo-Suk Yang
2. Min-Chan Shim
3. Wahyu Caesarendra
4. Achmad Widodo
5. J. Waewsak

In Statistics and Probability

1. Bo-Suk Yang
2. Min-Chan Shim
3. Wahyu Caesarendra
4. Achmad Widodo

Citations in the corpus

• An Analysis of Wind Speed Distribution at Thasala, Nakhon Si Thammarat, Thailand (2011, background): “Apart from the Weibull distribution, there are some distributions such as Gaussian distributions, exponential distributions, gamma distributions and logistics distributions that can be used to model a site's wind speed variation [4].”
• Intelligent prognostics for battery health monitoring based on sample entropy (2011, methodology): “Research of battery prognostics for determining useful life (RUL) has been reported by Goebel, Saha, Saxena, Celaya, and Christophersen (2008), Saha and Goebel (2007), and Saha, Goebel, Poll, and Christophersen (2009). These papers explored how the RUL can be assessed for complex system whose intern”