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A Review of Wind Speed Estimation for Wind Turbine Systems Based on Kalman Filter Technique

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 6 No. 4 (2016)

DOI
10.11591/ijece.v6i4.10735
ISSN
2088-8708, 2088-8708
Published
2016-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc-nd/4.0

Abstract

This paper presents a review of wind speed estimation based on Kalman filter technique applied to wind turbine systems. Generally, wind speed measurement is performed by anemometer. The wind speed provided by the anemometer is measured at a single point of the rotor plane which is not the accurate wind speed. Also, using anemometer increases the system cost, maintenance, complexity and reduces the reliability. For these reasons, estimation of wind speed is needed for wind turbine systems. In this paper, the several wind speed estimation methods based on Kalman filter method used for wind turbine systems are reviewed.

Collaboration network of the authors

40 authors · 96 co-authorship links · 55 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universiti Teknikal Malaysia Melaka
  • University of Technology Malaysia
  • Islamic Azad University, Tehran
  • Universitas Ahmad Dahlan
  • Damghan University
  • Sultan Agung Islamic University
  • Tun Hussein Onn University of Malaysia
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Nik Rumzi Nik IdrisUniversity of Technology Malaysia16
Mohd Junaidi Abdul AzizUniversity of Technology Malaysia14
Mohd Hatta JopriUniversiti Teknikal Malaysia Melaka8
Mustafa ManapUniversiti Teknikal Malaysia Melaka7
Awang JusohUniversity of Technology Malaysia7
Abdul Rahim AbdullahUniversiti Teknikal Malaysia Melaka6
M. Rahimi YusoffUniversiti Teknikal Malaysia Melaka4
Muhammad AdoUniversity of Technology Malaysia4
M. GhanbariAffiliation unknown4
Lina HandayaniUniversitas Ahmad Dahlan3
Imam Much Ibnu SubrotoSultan Agung Islamic University3
Shahreen binti KasimTun Hussein Onn University of Malaysia3
Mahmoud ZadehbagheriIslamic Azad University, Tehran3
Mohammad Javad KianiIslamic Azad University, Tehran3
Vahdat NazerianUniversity of Mazandaran3
Auzani JidinUniversiti Teknikal Malaysia Melaka2
Munawar Agus RiyadiDiponegoro University2
Deris StiawanSriwijaya University2
A.S. HussinUniversiti Teknikal Malaysia Melaka2
Mohd Ruddin Ab GhaniUniversiti Teknikal Malaysia Melaka2
Mehdi DadkhahIslamic Azad University, Tehran2
Shahaboddin ShamshirbandUniversity of Malaya2
Ahmad Saudi SamosirLampung University2
Ali AjamiAffiliation unknown2
Chibuike Peter OhanuUniversity of Nigeria2
Aiman Zakwan JidinUniversiti Teknikal Malaysia Melaka1
Rozana AlikUniversity of Technology Malaysia1
M.F. HabbanUniversiti Teknikal Malaysia Melaka1
Muhammad Firdaus Abd RazakUniversity of Technology Malaysia1
Mohamad Hamka Bin SaifulUniversity of Technology Malaysia1
Abdul Rashid HusainUniversity of Technology Malaysia1
Sahazati Md RozaliUniversiti Teknikal Malaysia Melaka1
Muhammad Nizam KamarudinUniversiti Teknikal Malaysia Melaka1
Abdulhamid Usman MutawakkilUniversity of Technology Malaysia1
Moloud AbdarDamghan University1
Sharareh Rostam Niakan KalhoriDamghan University1
Goli ArjiTehran University of Medical Sciences1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
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