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Record #16575

Wind turbine power coefficient estimation by soft computing methodologies: Comparative study

Publisher
Elsevier
Original paper date
Mar 18, 2014
Institution
Department of Computer Science, Chalous Branch, Islamic Azad University (IAU), 46615-397 Chalous, Mazandaran, Iran · University of Niš, Faculty of Mechanical Engineering, Department for Mechatronics and Control, Aleksandra Medvedeva 14, 18000 Niš, Serbia · Department of Information System, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia · Department of Software Engineering, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia · Department of Civil Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia · Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia
Open access
No
Article type
Research Article
Broad categories
(PHY) Energy
Citation lifecycle

How this paper is being cited

Pre-retraction
43
Same day
0
Post-retraction
11
% post-retraction
20.4%
~11.0 citations/yr before retraction · ~1.3 citations/yr after
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