Journals / Bilişim Teknolojileri Dergisi / 2016 / Cilt: 9 - Sayı: 2

Comparison of Some Estimation Methods of the two parameter Weibull Distribution for Unusual Wind Speed Data Cases

Pages
81–0
Publication Date
2016-05-21
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It was found that some of the considered robust methods provide reliable results compared classical ones.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Öz Since the Weibull distribution has been accepted reference distribution in wind energy field, topics on its parameter estimation methods have been attracted issue.
📊
Key Findings & Data:In this context, the literature have generally focused on non-robust methods which may yield questionable results in the cases of unusual and contaminated wind speed data.
💡
Conclusion & Impact:It was found that some of the considered robust methods provide reliable results compared classical ones.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Anahtar Kelimeler Wind speed · wind power · Weibull distribution

Özet

Öz Since the Weibull distribution has been accepted reference distribution in wind energy field, topics on its parameter estimation methods have been attracted issue. In this context, the literature have generally focused on non-robust methods which may yield questionable results in the cases of unusual and contaminated wind speed data. This paper discusses some robust estimation methods of the Weibull distribution for unusual wind speed data cases. The considered robust methods are evaluated by using artificially generated unusual wind speed data cases. It was found that some of the considered robust methods provide reliable results compared classical ones. Also, the same results are observed for the estimation of mean power density error. As a result, analyzes performed shows that robust and efficient classical methods can be used together to check results.

🔖

Cite This Article

Kantar, Y. M., ARIK, I., USTA, I., YENİLMEZ, I. (2016). Comparison of Some Estimation Methods of the two parameter Weibull Distribution for Unusual Wind Speed Data Cases. Bilişim Teknolojileri Dergisi, Cilt: 9 - Sayı: 2, 81–0. https://ajindex.com/articles/251992

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...