Paper Title:
Multi-Step-Ahead Forecasting of Wind Speed Based on EMD-RBF Model
  Abstract

Wind speed forecasting is critical for wind energy conversion systems. Adaptive and reliable methods and techniques of wind speed forecasting are urgently needed in view of the stochastic nature of wind resource, which is varying from time to time and from site to site. Multi-step-ahead speed forecasting is built with empirical mode decomposition (EMD) method and RBF neural network, which makes use of non-linear and non-stationary signal characteristics. Time series of original wind speed data is decomposed by EMD method. And RBF neural network is used to predict the decomposition of the various components. Experimental results show that the method effectively improves the accuracy and the reliability of wind speed forecasting.

  Info
Periodical
Advanced Materials Research (Volumes 347-353)
Chapter
Chapter 3: Development and Utilization of Wind Energy
Edited by
Weiguo Pan, Jianxing Ren and Yongguang Li
Pages
2219-2222
DOI
10.4028/www.scientific.net/AMR.347-353.2219
Citation
D. F. Wang, F. Q. Wang, P. Han, "Multi-Step-Ahead Forecasting of Wind Speed Based on EMD-RBF Model", Advanced Materials Research, Vols. 347-353, pp. 2219-2222, 2012
Online since
October 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Jian Hua Wu, Zheng Qiang Yao, Y. Jin
Abstract:The surface roughness is evaluated by decomposing micro-errors from irregular surface image. The wave of surface is designated as signals...
668
Authors: Hong Xia Pan, Li Ming Sun
Chapter 5: Industrial Mechanics
Abstract:The EMD method as a means of signal pre-processing is used to decompose the vibration signal of gearbox into a number of IMF components,...
532
Authors: Chuan Fei Wang, Gang An, Fan Jie Yang
Chapter 1: Computer-Aided Manufacturing
Abstract:Aim at the non-stationary and time-variation characteristic of the gear-box fault signal, proposing a condition identify method for gear-box...
248
Authors: Feng Sha, Feng Zhu, Shun Nan Guo, Jian Tong Gao
Chapter 11: Smart Grid Technologies
Abstract:This paper proposes that based on the EMD and PSO-BP neural network of short-term load forecasting. This method will be automatically...
1872
Authors: Feng Lei Ma, Xiao Long Zhou, Yong Tao Zheng
Chapter 4: Data Acquisition, Data Mining and Data Processing
Abstract:In this paper, we studied voice signal with Gaussian noise reduction. Based on signal analysis and reconstruction principle. Application of...
1039