A new hybrid model optimized by an intelligent optimization algorithm for wind speed forecasting

Energy Conversion and Management

Volumn 85, Issue , 2014, Pages 443-452

  Su, Zhongyue ^a   Wang, Jianzhou ^b   Lu, Haiyan ^c   Zhao, Ge ^d  

^a LANZHOU UNIVERSITY   (China)

^b DONGBEI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^c UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^d UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

ARIMA; Intelligent optimization; Kalman filter; Parameter optimization; Wind speed forecasting

Indexed keywords

ALGORITHMS; ELECTRIC UTILITIES; FORECASTING; KALMAN FILTERS; WIND; WIND POWER;

ARIMA; AUTO-REGRESSIVE INTEGRATED MOVING AVERAGE; CLEAN ENERGY SYSTEMS; DAILY MEAN WIND SPEED; INTELLIGENT OPTIMIZATION; INTELLIGENT OPTIMIZATION ALGORITHM; PARAMETER OPTIMIZATION; WIND SPEED FORECASTING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84903179521     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2014.05.058     Document Type: Article

References (40)

1. Heping Liu, Jing Shi, and Xiuli Qu Empirical investigation on using wind speed volatility to estimate the operation probability and power output of wind turbines Energy Convers Manage 67 2013 8 17
2. S.M. Habalia, Mohammad Amr, Isaac Saleh, and Rizeq Ta'ani Wind as an alternative source of energy in Jordan Energy Convers Manage 42 2001 339 357
3. S. Salcedo-Sanz, M. Pérez-Bellido Ángel, E.G. Ortiz-García, A. Portilla-Figueras, L. Prieto, and D. Paredes Accurate short-term wind speed forecasting by exploiting diversity in input data using banks of artificial neural networks Neurocomputing 72 2009 1336 1341
4. W. Yirong, L. Shu, and W. Guorong Three dimensional distribution characteristics of wind energy over hexi corridor Acta Energ Sol Sin 4 2007 451 456
5. S. Bivona, G. Bonanno, R. Burlon, D. Gurrera, and C. Leone Stochastic models for wind speed forecasting Energy Convers Manage 52 2011 1157 1165
6. P. Di-fu, L. Hui, and L. Yan-fei A wind speed forecasting optimization model for wind farms based on time series analysis and Kalman filter algorithm Power Syst Technol 32 2008 82 86
7. H.M.I. Pousinho, V.M.F. Mendes, and J.P.S. Catalão A hybrid PSO-ANFIS approach for short-term wind power prediction in Portugal Energy Convers Manage 52 2011 397 402
8. Ümmühan Başaran Fili, Ömer Nezih Gerek, and Mehmet Kurban A novel modeling approach for hourly forecasting of long-term electric energy demand Energy Convers Manage 52 2011 199 211
9. Ergin Erdem, and Jing Shi ARMA based approaches for forecasting the tuple of wind speed and direction Appl Energy 88 2011 1405 1414
10. G.E.P. Box, G.M. Jenkins, and G.C. Reinsel Time series analysis: forecasting and control 4 ed. 2008 John Wiley
11. J. Kennedy, and R. Eberhart A new optimizer using particle swarm theory Proceedings sixth symposium on micromachine and human science 1995 IEEE Service Center Piscataway (NJ) 39 43
12. R.E. Kalman A new approach to linear filtering and forecasting problems J Basic Eng 82 Series D 1960 35 45
13. X. Hua, D.V. Prokhorov, and D.C. Wunsch II Time series forecasting with a weighted bidirectional multi-stream extended Kalman filter Neurocomputing 70 2007 2392 2399 (Pubitemid 46838560)
14. A. Vasebi, S.M.T. Bathaee, and M. Partovibakhsh Predicting state of charge of lead-acid batteries for hybrid electric vehicles by extended Kalman filter Energy Convers Manage 49 2008 75 82 (Pubitemid 350061010)
15. Sancho. Salcedo-Sanz et al. Hybridizing the fifth generation mesoscale model with artificial neural networks for short-term wind speed forecasting Renew Energy 34 2009 1451 1457
16. Marcela Martinez-Rojas, Andreas Sumper, Oriol Gomis-Bellmunt, and Antoni Sudrià-Andreu Reactive power dispatch in wind farms using particle swarm optimization technique and feasible solutions search Appl Energy 88 2011 4678 4686
17. J. Che, and J. Wang Short-term electricity prices forecasting based on support vector regression and autoregressive integrated moving average modeling Energy Convers Manage 51 2010 1911 1917
18. G. Reikard Predicting solar radiation at high resolutions: a comparison of time series forecasts Sol Energy 83 2009 342 349
19. F.M. Tseng, and G.H. Tzeng A fuzzy seasonal ARIMA model for forecasting Fuzzy Sets Syst 126 2002 367 376
20. M. Dorigo, E. Bonabeau, and G. Theraulaz Ant algorithms and stigmergy Future Gener Comput Syst 16 2000 851 871
21. L. Zhao, and Y. Yang Pso-based single multiplicative neuron model for time series forecasting Exp Syst Appl 36 2009 2805 2812
22. I-Hong Kuo, Shi-Jinn Horng, Tzong-Wann Kao, Tsung-Lieh Lin, Cheng-Ling Lee, and Yi Pan An improved method for forecasting enrollments based on fuzzy time series and particle swarm optimization Exp Syst Appl 36 2009 6108 6117
23. W.C. Hong Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model Energy Convers Manage 50 2009 105 117
24. A. Sfetsos A comparison of various forecasting techniques applied to mean hourly wind speed time series Renew Energy 21 2000 23 35 (Pubitemid 30306417)
25. Ying Wang, Jianzhong Zhou, Hui Qin, and Youlin Lu Improved chaotic particle swarm optimization algorithm for dynamic economic dispatch problem with valve-point effects Energy Convers Manage 51 2010 2893 2900
26. Gregory Levitin, Xiaohui Hu, and Yuan-Shun Dai Particle swarm optimization in reliability engineering Comput Intell Reliab Eng 40 2007 83 112
27. Wang Junping, Guo Jingang, and Ding Lei An adaptive Kalman filtering based State of Charge combined estimator for electric vehicle battery pack Energy Convers Manage 50 2009 3182 3186
28. Sajjad Kouhi, and Farshid Keynia A new cascade NN based method to short-term load forecast in deregulated electricity market Energy Convers Manage 71 2013 76 82
29. Mustafa Servet KIran, Eren Özceylan, Mesut Gündüz, and Turan Paksoy A novel hybrid approach based on particle swarm optimization and ant colony algorithm to forecast energy demand of Turkey Energy Convers Manage 53 2012 75 83
30. H. Al-Hamadi, and S. Soliman Short-term electric load forecasting based on Kalman filtering algorithm with moving window weather and load model Electr Power Syst Res 68 2004 47 59
31. S. Tsiaplias Factor estimation using MCMC-based Kalman filter methods Comput Statist Data Anal 53 2008 344 353
32. Tongxin Zheng et al. A hybrid wavelet-Kalman filter method for load forecasting Electr Power Syst Res 54 2000 11 17 (Pubitemid 30560928)
33. G. Riddington Time varying coefficient models and their forecasting performance Omega 21 1993 573 583
34. Xia Changliang, and Song Zhanfeng Wind energy in China: current scenario and future perspectives Renew Sust Energy Rev 13 2009 1966 1974
35. Zhenhai Guo et al. A corrected hybrid approach for wind speed forecasting in Hexi Corridor of China Energy 36 2011 1668 1679
36. Murat Barut Bi input-extended Kalman filter based estimation technique for speed-sensorless control of induction motors Energy Convers Manage 51 2010 2032 2040
37. Jinxing Che, and Jianzhou Wang Short-term electricity prices forecasting based on support vector regression and Auto-regressive integrated moving average modeling Energy Convers Manage 51 2010 1911 1917
38. L. Yazhou, W. Weisheng, Y. Yonghua, and D. Huizhu Analysis of wind power value to power system operation Power Syst Technol 26 2002 10 14
39. D. Bunn, and E. Farmer Comparative Models for Electrical Load Forecasting 1985 John Wiley & Sons New York
40. Y. Xiu-yuan, X. Yang, and C. Shu-yong Wind speed and generated power forecasting in wind farm Proc CSEE 25 11 2005