Hybrid Forecasting Model Based Data Mining and Cuckoo Search: A Case Study of Wind Speed Time Series
Xiangdong Xu1, Xi Song1, *, Qian Wang1, Zhiyuan Liu1, Jing Wang1, Zhiru Li2
1 State Grid Gansu Electric Power Company, Lanzhou 730030, China
2 State Grid Gansu Electric Power Research Institute, Lanzhou, China
Abstract
Wind energy has been part of the fastest growing renewable energy sources that is clean and pollution-free, which has been increasingly gaining global attention, and wind speed forecasting plays a vital role in the wind energy field, however, it has been proven to be a challenging task owing to the effect of various meteorological factors. This paper proposes a hybrid forecasting model, which can effectively make a preprocess for the original data and improve forecasting accuracy, the developed model applies cuckoo search(CS) algorithm to optimize the parameters of the wavelet neural network (WNN) model. The proposed hybrid method is subsequently examined on the wind farms of eastern China and the forecasting performance shows that the developed model is better than some traditional models.
Keywords: Cuckoo search, Data mining, Hybrid forecasting, Parameter optimization, Wind speed forecasting, Wavelet neural network.
Article Information
Article History:
Received Date: 30/11/2015
Revision Received Date: 03/07/2016
Acceptance Date: 18/07/2016
Electronic publication date: 20/10/2016
Collection year: 2016
© Xu et al.; Licensee Bentham Open
open-access license:
This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0)
(
https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the
work is properly cited.
*
Address correspondence to this author at the State Grid Gansu Electric Power Company, Lanzhou 730030, China; Tel: +86 0931-2966361; E-mail: songxi_sgcc@163.com
Open Peer Review Details |
Manuscript submitted on 30-11-2015 |
Original Manuscript |
Hybrid Forecasting Model Based Data Mining and Cuckoo Search: A Case Study of Wind Speed Time Series |