DOI:​10.1016/J.IJEPES.2014.06.022
Corpus ID: 109484420
An appraisal of wind turbine wake models by adaptive neuro-fuzzy methodology
Shahaboddin Shamshirband, D. Petkovic, +2 authors N. B. Anuar
Published 2014
Engineering

International Journal of Electrical Power & Energy Systems
Abstract Production losses and increased turbine loadings are observed in wind farms, when wind turbines interact with each other. If a wind turbine is located in the wake of another one, its… Expand
View Via Publisher
Share This Paper




35 Citations
Highly Influential Citations
1
Background Citations
3
Methods Citations
4
35 Citations
Wind wake influence estimation on energy production of wind farm by adaptive neuro-fuzzy methodology
V. Nikolic, Shahaboddin Shamshirband, +4 authorsAbdullah Gani
Engineering
2015
37 Citations
Generalized adaptive neuro-fuzzy based method for wind speed distribution prediction
D. Petkovic, S. Shamshirband, C. W. Tong, Eiman Tamah Al-Shammari
Computer Science, Engineering
2015
27 Citations
A Survey of Artificial Neural Network in Wind Energy Systems
A. P. Marugán, F. Márquez, J. M. P. Pérez, D. Ruiz-Hernández
Computer Science
2018
126 Citations
PDF
Applications of fuzzy logic in renewable energy systems – A review
L. Suganthi, S. Iniyan, A. A. Samuel
Engineering
2015
312 Citations
Automatic Generation Control of a Wind Turbine Integrated Hydro-thermal Plant with Redox Flow Batteries for 2-Area Interconnected Power System
S. S. Pati, S. Mishra
Environmental Science
2020
5 Citations
Selection of climatic parameters affecting wave height prediction using an enhanced Takagi-Sugeno-based fuzzy methodology
R. Hashim, Chandrabhushan Roy, S. Motamedi, Shahaboddin Shamshirband, D. Petkovic
Environmental Science
2016
18 Citations
Performance Comparison of Fuzzy Gain Scheduling based LFC Controller in Deregulated AGC of a Multi Area System Incorporating Wind Energy
S. S. Pati, S. Dash, S. Mishra
Computer Science
2018 International Conference on Applied Electromagnetics, Signal Processing and Communication (AESPC)
2018
Wind speed modeling using a vector autoregressive process with a time-dependent intercept term
M. Koivisto, J. Seppanen, +5 authors M. Lehtonen
Engineering
2016
18 Citations
Automatic Load Frequency Control of Six Areas’ Hybrid Multi-Generation Power Systems Using Neuro-Fuzzy Intelligent Controller
S. Prakash, S. Sinha
Engineering
2018
12 Citations
Multi-expert wind energy technology selection using interval-valued intuitionistic fuzzy sets
Sezi Cevik Onar, B. Oztaysi, Irem Otay, C. Kahraman
Mathematics
2015
105 Citations
...
1
2
3
4
...
References
SHOWING 1-10 OF 33 REFERENCES
Estimation of wind speed profile using adaptive neuro-fuzzy inference system (ANFIS)
M. Mohandes, S. Rehman, S. M. Rahman
Engineering
2011
174 Citations
PDF
An adaptive neuro-fuzzy inference system approach for prediction of tip speed ratio in wind turbines
R. Ata, Y. Koçyigit
Computer ScienceExpert Syst. Appl.
2010
82 Citations
Wake effect in wind farm performance: Steady-state and dynamic behavior
F. Gonzalez-Longatt, P. Wall, V. Terzija
Engineering
2012
221 Citations
PDF
Effects of wind speed changes on wake instability of a wind turbine in a virtual wind tunnel using large eddy simulation
Jang-oh Mo, Amanullah Choudhry, M. Arjomandi, R. Kelso, Young-Ho Lee
Engineering
2013
47 Citations
PDF
Large eddy simulation of the wind turbine wake characteristics in the numerical wind tunnel model
Jang-oh Mo, Amanullah Choudhry, M. Arjomandi, Young-Ho Lee
Physics
2013
96 Citations
Wind turbine wake properties: Comparison between a non-rotating simplified wind turbine model and a rotating model
S. Aubrun, S. Loyer, P. Hancock, P. Hayden
Physics
2013
73 Citations
PDF
Wind turbine wake aerodynamics
L. Vermeer, J. Sørensen, A. Crespo
Physics
2003
882 Citations
Large-eddy simulation of atmospheric boundary layer flow through wind turbines and wind farms
F. Porté-Agel, Yu Wu, Hao-Yuan Lu, R. Conzemius
Engineering
2011
363 Citations
PDF
An overview of data for wake model evaluation in the Virtual Wakes Laboratory
R. Barthelmie, S. Pryor
Engineering
2013
50 Citations
PDF
CALCULATING THE FLOWFIELD IN THE WAKE OF WIND TURBINES
J. Ainslie
Engineering
1988
526 Citations
...
1
2
3
4
...
SORT BY
Related Papers
Adaptive neuro-fuzzy generalization of wind turbine wake added turbulence models
Shahaboddin Shamshirband, D. Petkovic, N. B. Anuar, Abdullah Gani
Engineering
2014
When the turbine extracts power from the wind, a wake evolves downstream of the turbine. The turbines operating in the w...
22 Citations
Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks
Hui Liu, H. Tian, Di Pan, Yanfei Li
Engineering
2013
Wind speed forecasting is important for the security of wind power integration. Based on the theories of wavelet, wavele...
238 Citations
Show More
2/10
Abstract
35 Citations
33 References
Related Papers
Stay Connected With Semantic Scholar
What Is Semantic Scholar?
Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI.
Learn More
About
About Us
Publishers
Beta Program
Contact
Research
Team
Datasets
Open Corpus
Supp.ai
Resources
Librarians
Tutorials
FAQ
API
Proudly built by AI2
Terms of ServicePrivacy Policy
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License
ACCEPT & CONTINUE