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　　帮忙查询下一篇文章是否已被EI收录。题目：Improved Mycielski approach for wind speed prediction
期刊名：Systems Engineering - Theory Practice
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2楼2014-01-03 18:22:10
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Accession number:
20132516428803
Title: Improved Mycielski approach for wind speed prediction
Authors: Gan, Min1; Ding, Ming1; Dong, Xue-Ping1
Author affiliation: 1 School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
Corresponding author: Gan, M.
Source title: Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
Abbreviated source title: Xitong Gongcheng Lilum yu Shijian
Volume: 33
Issue: 4
Issue date: April 2013
Publication year: 2013
Pages: 1084-1088
Language: Chinese
ISSN: 10006788
CODEN: XGLSE2
Document type: Journal article (JA)
Publisher: Systems Engineering Society of China, Xitong Yanjiusuo, Beijing, 100080, China
Abstract: Wind speed modeling and prediction is important for utility of wind power. Since the wind speed data are non-normally distributed and have highly variable nature, it is very difficult to predict the wind speed accurately by applying statistical approaches. This paper predicts the wind speed using the Mycielski approach which is similar to a high order Markov chian approach. To improve the prediction accuracy, the wind speed states are redefined in a smaller region. Then, the Mycielski algorithm searches the longest suffix string at the end of the data sequence which had repeated at least once in the history of the sequence. The simulation examples and the F-test values of the comparsion results show that the prediction performance of the proposed approach is improved significantly.
Number of references: 11
Main heading: Wind effects
Controlled terms: Algorithms-Forecasting-Normal distribution-Wind power
Uncontrolled terms: Modeling and predictions-Mycielski-Prediction accuracy-Prediction performance-Simulation example-Statistical approach-Wind speed data-Wind speed prediction
Classification code: 443.1 Atmospheric Properties -615.8 Wind Power (Before 1993, use code 611 ) -723 Computer Software, Data Handling and Applications -921 Mathematics -922.1 Probability Theory
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.