Knowledge Mining Based on Environmental Simulation Applied to Wind Farm Power Forecasting
Joint Authors
Niu, Dongxiao
Ji, Ling
Ma, Qingguo
Li, Wei
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-24
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Considering the inherent variability and uncertainty of wind power generation, in this study, a self-organizing map (SOM) combined with rough set theory clustering technique (RST) is proposed to extract the relative knowledge and to choose the most similar history situation and efficient data for wind power forecasting with numerical weather prediction (NWP).
Through integrating the SOM and RST methods to cluster the historical data into several classes, the approach could find the similar days and excavate the hidden rules.
According to the data reprocessing, the selected samples will improve the forecast accuracy echo state network (ESN) trained by the class of the forecasting day that is adopted to forecast the wind power output accordingly.
The developed methods are applied to a case of power forecasting in a wind farm located in northwest of China with wind power data from April 1, 2008, to May 6, 2009.
In order to verify its effectiveness, the performance of the proposed method is compared with the traditional backpropagation neural network (BP).
The results demonstrated that knowledge mining led to a promising improvement in the performance for wind farm power forecasting.
American Psychological Association (APA)
Niu, Dongxiao& Ji, Ling& Ma, Qingguo& Li, Wei. 2013. Knowledge Mining Based on Environmental Simulation Applied to Wind Farm Power Forecasting. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1010015
Modern Language Association (MLA)
Niu, Dongxiao…[et al.]. Knowledge Mining Based on Environmental Simulation Applied to Wind Farm Power Forecasting. Mathematical Problems in Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1010015
American Medical Association (AMA)
Niu, Dongxiao& Ji, Ling& Ma, Qingguo& Li, Wei. Knowledge Mining Based on Environmental Simulation Applied to Wind Farm Power Forecasting. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1010015
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010015