EconPapers    
Economics at your fingertips  
 

Wind Speed Analysis Using Signal Processing Technique

T. Cetin Akinci and Omer Akgun

A chapter in Renewable Energy - Resources, Challenges and Applications from IntechOpen

Abstract: In this study, wind energy, the formation of this energy, and the necessary stages for the production of electrical energy will be discussed. Then, the countries' investments in wind energy will be mentioned. In the mathematical background, statistical methods and signal processing methods are used in the calculation of wind energy efficiency. In this chapter, a detailed analysis of the use of wind speed data with signal processing techniques will be made using the hourly wind speed data of Istanbul for the last 10 years. This data will be analyzed by the Fourier method. Afterward, analyses will be made with short-time Fourier transform (STFT) and bi-spectrum analysis method, and these results will be compared. The data obtained from the study can be considered as a framework for the wind farms to be constructed.

Keywords: wind speed; STFT; bi-spectrum analysis; data analysis (search for similar items in EconPapers)
JEL-codes: Q20 Q40 (search for similar items in EconPapers)
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.intechopen.com/chapters/71575 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ito:pchaps:206836

DOI: 10.5772/intechopen.91840

Access Statistics for this chapter

More chapters in Chapters from IntechOpen
Bibliographic data for series maintained by Slobodan Momcilovic ().

 
Page updated 2025-04-09
Handle: RePEc:ito:pchaps:206836