Evaluation of suitability of wind speed probability distribution models: a case study from Tamil Nadu, India

2021 ◽  
Author(s):  
Narayanan Natarajan ◽  
Mangottiri Vasudevan ◽  
Shafiqur Rehman
Keyword(s):  
Wind Speed ◽  
Probability Distribution ◽  
Tamil Nadu ◽  
Distribution Models

scholarly journals Determining suitable probability distribution models for annual precipitation data (a case study of Mazandaran and Golestan provinces)

2010 ◽  
Vol 3 (1) ◽  
Author(s):  
Mohammad Mahdavi ◽  
Khaled Osati ◽  
Sayed Ali Naghi Sadeghi ◽  
Bakhtiar Karimi ◽  
Jalil Mobaraki
Keyword(s):  
Probability Distribution ◽  
Annual Precipitation ◽  
Precipitation Data ◽  
Distribution Models

scholarly journals Application of Harmony Search to Design Storm Estimation from Probability Distribution Models

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Sukmin Yoon ◽  
Changsam Jeong ◽  
Taesam Lee
Keyword(s):  
Parameter Estimation ◽  
Probability Distribution ◽  
Harmony Search ◽  
Computation Time ◽  
The Other ◽  
Distribution Model ◽  
Distribution Models ◽  
Design Storm ◽  
Estimated Parameters

The precision of design storm estimation depends on the selection of an appropriate probability distribution model (PDM) and parameter estimation techniques. Generally, estimated parameters for PDMs are provided based on the method of moments, probability weighted moments, and maximum likelihood (ML). The results using ML are more reliable than the other methods. However, the ML is more laborious than the other methods because an iterative numerical solution must be used. In the meantime, metaheuristic approaches have been developed to solve various engineering problems. A number of studies focus on using metaheuristic approaches for estimation of hydrometeorological variables. Applied metaheuristic approaches offer reliable solutions but use more computation time than derivative-based methods. Therefore, the purpose of the current study is to enhance parameter estimation of PDMs for design storms using a recently developed metaheuristic approach known as a harmony search (HS). The HS is compared to the genetic algorithm (GA) and ML via simulation and case study. The results of this study suggested that the performance of the GA and HS was similar and showed more accurate results than that of the ML. Furthermore, the HS required less computation time than the GA.

Deep assessment of wind speed distribution models: A case study of four sites in Algeria

2018 ◽  
Vol 155 ◽  
pp. 78-90 ◽  
Author(s):  
Nawel Aries ◽  
Sidi Mohammed Boudia ◽  
Houdayfa Ounis
Keyword(s):  
Wind Speed ◽  
Distribution Models ◽  
Speed Distribution ◽  
Wind Speed Distribution
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