Hybrid Wind Speed Forecasting Model Study Based on SSA and Intelligent Optimized Algorithm

Joint Authors

Zhang, Wenyu
Su, Zhongyue
Zhang, Hongli
Zhao, Yanru
Zhao, Zhiyuan

Source

Abstract and Applied Analysis

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-04-03

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Mathematics

Abstract EN

Accurate wind speed forecasting is important for the reliable and efficient operation of the wind power system.

The present study investigated singular spectrum analysis (SSA) with a reduced parameter algorithm in three time series models, the autoregressive integrated moving average (ARIMA) model, the support vector machine (SVM) model, and the artificial neural network (ANN) model, to forecast the wind speed in Shandong province, China.

In the proposed model, the weather research and forecasting model (WRF) is first employed as a physical background to provide the elements of weather data.

To reduce these noises, SSA is used to develop a self-adapting parameter selection algorithm that is fully data-driven.

After optimization, the SSA-based forecasting models are applied to forecasting the immediate short-term wind speed and are adopted at ten wind farms in China.

Finally, the performance of the proposed approach is evaluated using observed data according to three error calculation methods.

The simulation results from ten cases show that the proposed method has better forecasting performance than the traditional methods.

American Psychological Association (APA)

Zhang, Wenyu& Su, Zhongyue& Zhang, Hongli& Zhao, Yanru& Zhao, Zhiyuan. 2014. Hybrid Wind Speed Forecasting Model Study Based on SSA and Intelligent Optimized Algorithm. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1014596

Modern Language Association (MLA)

Zhang, Wenyu…[et al.]. Hybrid Wind Speed Forecasting Model Study Based on SSA and Intelligent Optimized Algorithm. Abstract and Applied Analysis No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-1014596

American Medical Association (AMA)

Zhang, Wenyu& Su, Zhongyue& Zhang, Hongli& Zhao, Yanru& Zhao, Zhiyuan. Hybrid Wind Speed Forecasting Model Study Based on SSA and Intelligent Optimized Algorithm. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1014596

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1014596