Retraction
Solving the problem of optimizing wind farm design using genetic algorithms
Paper Information
Record ID:
24192
Publication Date:
April 09, 2020
Retraction Date:
September 15, 2020
(5.2 years years ago)
Subjects:
Institutions:
Countries:
Article Type:
Publisher:
IOP Publishing
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed
Retraction Details
Retraction Reasons:
Nature of Retraction:
Retraction
Retraction Notice:
10.1088/1757-899X/872/1/012194Additional Notes:
Amelec Viloria aka Jesus Silva;
Citations (4)
4
Total Citations3
Post-Retraction(75.0%)
0
Pre-Retraction0
Same DayPost-Retraction Citation Analysis
0
Within 30 days
1
Within 1 year
2
After 2+ years
1569
Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Optimising Wind Energy Site Selection in Northern Afghanistan: An Integrated Analysis of Analytical Hierarchy Process and Genetic Algorithms
Abdul Baser Qasimi, Areej Al Bahir, Ara Toomanian et al. (5 authors)
IET Renewable Power Generation
Open Access
Published: Jan 2025
1 citation
1 citation
1569 days after retraction
Control of wind electric conversion system based on double-fed induction generator for maximum power point tracking with fractional nonlinear synergetic control
Aghiles Ardjal, Arezki Fekik, Mohamed Lamine Hamida et al. (5 authors)
Elsevier eBooks
Published: Jan 2023
1 citation
1 citation
838 days after retraction
A mixed-integer programming methodology to design tidal current farms integrating both cost and benefits: A case study in the Chacao Channel, Chile
Maichel M. Aguayo, Pablo E. Fierro, Rodrigo De la Fuente et al. (5 authors)
Applied Energy
Published: May 2021
5 citations
5 citations
231 days after retraction
Quick Stats
Total Citations:
5
Years Since Retraction:
5.2 years
Open Access:
Yes
Last Checked:
Jul 24, 2025