scholarly journals A New Approach to Simulate the Wind Power Energy Based on the Probability Density Function

2013 ◽  
Vol 1 (2) ◽  
pp. 8-13 ◽  
Author(s):  
M.T. Askari
Keyword(s):  
Probability Density Function ◽  
Probability Density ◽  
Density Function ◽  
Wind Power ◽  
New Approach

scholarly journals Probability Density Function Characterization for Aggregated Large-Scale Wind Power Based on Weibull Mixtures

Energies ◽  
2016 ◽  
Vol 9 (2) ◽  
pp. 91 ◽  
Author(s):  
Emilio Gómez-Lázaro ◽  
María Bueso ◽  
Mathieu Kessler ◽  
Sergio Martín-Martínez ◽  
Jie Zhang ◽  
...  
Keyword(s):  
Probability Density Function ◽  
Probability Density ◽  
Density Function ◽  
Wind Power ◽  
Large Scale ◽  
Function Characterization

A new approach to analysis of residue probability density function in pipelined ADCs

Integration ◽  
2016 ◽  
Vol 52 ◽  
pp. 51-61 ◽  
Author(s):  
Esmaeil Fatemi-Behbahani ◽  
Ebrahim Farshidi ◽  
Karim Ansari-Asl
Keyword(s):  
Probability Density Function ◽  
Probability Density ◽  
Density Function ◽  
New Approach ◽  
Pipelined Adcs

Reserch on a NOx Emission Forecasting Method Based on Naïve Bayesian

2014 ◽  
Vol 936 ◽  
pp. 1857-1861
Author(s):  
Zhang Lin ◽  
Wang Xin ◽  
Zhang Qi
Keyword(s):  
Diesel Engine ◽  
Probability Density Function ◽  
Environmental Pollution ◽  
Probability Density ◽  
Density Function ◽  
Nox Emission ◽  
New Approach ◽  
Naive Bayesian ◽  
Naïve Bayesian ◽  
Forecasting Method

Increasingly serious environmental pollution,trying to find a effective method to control NOx emission become more importance. Under this background, this paper adopts the naïve Bayesian classifier method which built on the basis of the probability density function to forecasting the NOx emission of diesel engine. This paper proposes a new approach to weight the super-parent one dependence estimators, and uses the UCI datasets to verify the validity of the proposed method. Finally, apply this diagnosis technology to the collected WD615 diesel engine data. The comparison experiments with other algorithms demonstrate the effectiveness of the proposed method.

The probability density function P(Kh,Kh) of the clearness index: A new approach

Solar Energy ◽  
1989 ◽  
Vol 43 (6) ◽  
pp. 363-372 ◽  
Author(s):  
T. Feuillard ◽  
J.-M. Abillon ◽  
C. Martias
Keyword(s):  
Probability Density Function ◽  
Probability Density ◽  
Density Function ◽  
Clearness Index ◽  
New Approach

A New Approach in Signal Processing for Sodium Boiling Noise Detection by Probability Density Function Estimates

1988 ◽  
Vol 80 (3) ◽  
pp. 371-379 ◽  
Author(s):  
C. P. Reddy ◽  
Om Pal Singh ◽  
R. K. Vyjayanthi ◽  
R. Prabhakar
Keyword(s):  
Signal Processing ◽  
Probability Density Function ◽  
Probability Density ◽  
Density Function ◽  
Noise Detection ◽  
New Approach

scholarly journals A new approach on fractional calculus and probability density function

2020 ◽  
Vol 5 (6) ◽  
pp. 7041-7054 ◽  
Author(s):  
Shu-Bo Chen ◽  
◽  
Saima Rashid ◽  
Muhammad Aslam Noor ◽  
Rehana Ashraf ◽  
...  
Keyword(s):  
Probability Density Function ◽  
Fractional Calculus ◽  
Probability Density ◽  
Density Function ◽  
New Approach

scholarly journals An Isofactorial Change-of-Scale Model for the Wind Speed Probability Density Function

2010 ◽  
Vol 27 (2) ◽  
pp. 257-273 ◽  
Author(s):  
Mark L. Morrissey ◽  
Angie Albers ◽  
J. Scott Greene ◽  
Susan Postawko
Keyword(s):  
Wind Speed ◽  
Probability Density Function ◽  
Probability Density ◽  
Density Function ◽  
Wind Power ◽  
Power Density ◽  
Scale Model ◽  
Subgrid Scale ◽  
Wind Power Density ◽  
Time Space

Abstract The wind speed probability density function (PDF) is used in a variety of applications in meteorology, oceanography, and climatology usually as a dataset comparison tool of a function of a quantity such as momentum flux or wind power density. The wind speed PDF is also a function of measurement scale and sampling error. Thus, quantities derived from a function of the wind PDF estimated from measurements taken at different scales may yield vastly different results. This is particularly true in the assessment of wind power density and studies of model subgrid-scale processes related to surface energy fluxes. This paper presents a method of estimating the PDF of wind speed representing a specific scale, whether that is in time, space, or time–space. The concepts used have been developed in the field of nonlinear geostatistics but have rarely been applied to meteorological problems. The method uses an expansion of orthogonal polynomials that incorporates a scaling parameter whose values can be found from the variance of wind speed at the desired scale. Possible uses of this technique are for scale homogenization of model or satellite datasets used in comparison studies, investigations of subgrid-scale processes for development of parameterization schemes, or wind power density assessment.

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