Wind speed prediction using the hybrid model of wavelet decomposition and artificial bee colony algorithm-based relevance vector machine

International Journal of Electrical Power and Energy Systems

Volumn 73, Issue , 2015, Pages 625-631

  Fei, Sheng Wei ^a   He, Yong ^a  

^a DONGHUA UNIVERSITY   (China)

Author keywords

Artificial bee colony algorithm; Embedding dimension; Speed wind prediction; Wavelet decomposition

Indexed keywords

ALGORITHMS; EVOLUTIONARY ALGORITHMS; FORECASTING; OPTIMIZATION; SIGNAL PROCESSING; SPEED; WIND;

ARTIFICIAL BEE COLONY ALGORITHMS; ARTIFICIAL BEE COLONY ALGORITHMS (ABC); DIFFERENT FREQUENCY; EMBEDDING DIMENSIONS; KERNEL PARAMETER; RELEVANCE VECTOR MACHINE; WIND PREDICTION; WIND SPEED PREDICTION;

WAVELET DECOMPOSITION;

EID: 84930940764     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2015.04.019     Document Type: Article

References (25)

1. Chunbo Xiu, Tiantian Wang, Meng Tian, Yanqing Li, and Yi Cheng Short-term prediction method of wind speed series based on fractal interpolation Chaos, Solitons and Fractals 68 2014 89 97
2. Zhongyue Su, Jianzhou Wang, Haiyan Lu, and Ge Zhao A new hybrid model optimized by an intelligent optimization algorithm for wind speed forecasting Energy Convers Manage 85 2014 443 452
3. Dalibor Petković, Shahaboddin Shamshirband, Nor Badrul Anuar, Hadi Saboohi, Ainuddin Wahid Abdul Wahab, and Milan Protić An appraisal of wind speed distribution prediction by soft computing methodologies: a comparative study Energy Convers Manage 84 2014 133 139
4. Sadegh Ghani Varzaneh, G.B. Gharehpetian, and Mehrdad Abedi Output power smoothing of variable speed wind farms using rotor-inertia Electr Power Syst Res 116 2014 208 217
5. Mohamed Ahmed Mohandes, and Shafiqur Rehman Short term wind speed estimation in Saudi Arabia J Wind Eng Ind Aerodyn 128 2014 37 53
6. Gong Li, and Jing Shi On comparing three artificial neural networks for wind speed forecasting Appl Energy 87 7 2010 2313 2320
7. Chao Ren, Ning An, Jianzhou Wang, Lian Li, Bin Hu, and Duo Shang Optimal parameters selection for BP neural network based on particle swarm optimization: a case study of wind speed forecasting Knowl - Based Syst 56 2014 226 239
8. Zhibin He, Xiaohu Wen, Hu Liu, and Jun Du A comparative study of artificial neural network, adaptive neuro fuzzy inference system and support vector machine for forecasting river flow in the semiarid mountain region J Hydrol 509 2014 379 386
9. Seokho Kang, and Sungzoon Cho Approximating support vector machine with artificial neural network for fast prediction Expert Syst Appl 41 10 2014 4989 4995
10. Baojuan Zheng, Soe W. Myint, Prasad S. Thenkabail, and Rimjhim M. Aggarwal A support vector machine to identify irrigated crop types using time-series Landsat NDVI data Int J Appl Earth Obs Geoinf 34 2015 103 112
11. Sancho Salcedo-Sanz, Emilio G. Ortiz-GarcÍa, Ángel M. Pérez-Bellido, Antonio Portilla-Figueras, and Luis Prieto Short term wind speed prediction based on evolutionary support vector regression algorithms Expert Syst Appl 38 4 2011 4052 4057
12. Michael E. Tipping Sparse Bayesian learning and the relevance vector machine J Machine Learning Res 1 2001 211 244
13. John Flake, Todd K. Moon, Mac McKee, and Jacob H. Gunther Application of the relevance vector machine to canal flow prediction in the Sevier River Basin Agric Water Manage 97 2 2010 208 214
14. Changsheng Zhang, Dantong Ouyang, and Jiaxu Ning An artificial bee colony approach for clustering Expert Syst Appl 37 7 2010 4761 4767
15. Amer Draa, and Amira Bouaziz An artificial bee colony algorithm for image contrast enhancement Swarm Evolutionary Comput 16 2014 69 84
16. Digbalay Bose, Subhodip Biswas, Athanasios V. Vasilakos, and Sougata Laha Optimal filter design using an improved artificial bee colony algorithm Inf Sci 281 2014 443 461
17. Swagatam Das, Subhodip Biswas, and Souvik Kundu Synergizing fitness learning with proximity-based food source selection in artificial bee colony algorithm for numerical optimization Appl Soft Comput 13 12 2013 4676 4694
18. Rasoul Irani, and Reza Nasimi Application of artificial bee colony-based neural network in bottom hole pressure prediction in underbalanced drilling J Petrol Sci Eng 78 1 2011 6 12
19. Dalian Yang, Yilun Liu, Songbai Li, Xuejun Li, and Liyong Ma Gear fault diagnosis based on support vector machine optimized by artificial bee colony algorithm Mech Mach Theory 90 2015 219 229
20. D. Karaboga, and B. Basturk On the performance of artificial bee colony (ABC) algorithm Appl Soft Comput 8 1 2008 687 697
21. Dervis Karaboga, and Celal Ozturk A novel clustering approach: Artificial Bee Colony (ABC) algorithm Appl Soft Comput 11 1 2011 652 657
22. Diego Oliva, Erik Cuevas, and Gonzalo Pajares Parameter identification of solar cells using artificial bee colony optimization Energy 72 2014 93 102
23. Syed Akbar Raza Naqvi, Imran Touqir, and Adil Masood Siddiqui Sparse representation of image and video using easy path wavelet transform Signal Process 103 2014 331 347
24. Kelly Sabaliauskas, Cheol-Heon Jeong, Xiaohong Yao, and Greg J. Evans The application of wavelet decomposition to quantify the local and regional sources of ultrafine particles in cities Atmos Environ 95 2014 249 257
25. Min-Yuan Cheng, Minh-Tu Cao, and Duc-Hoc Tran A hybrid fuzzy inference model based on RBFNN and artificial bee colony for predicting the uplift capacity of suction caissons Autom Construction 41 2014 60 69