兰州大学机构库 >大气科学学院
Hybrid Wind Speed Forecasting Model Study Based on SSA and Intelligent Optimized Algorithm
Zhang, Wenyu; Su, Zhongyue; Zhang, Hongli; Zhao, Yanru; Zhao, Zhiyuan
2014
Source PublicationABSTR APPL ANAL   Impact Factor & Quartile Of Published Year  The Latest Impact Factor & Quartile
ISSN1085-3375
Pages-
AbstractAccurate 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 proposedmodel, the weather research and forecastingmodel ( 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.
Subject AreaMathematics
PublisherHINDAWI
DOI10.1155/2014/693205
Publication PlaceNEW YORK
Indexed BySCIE
Language英语
First Inst
Funding Project国家自然科学基金项目
Project NumberNational Natural Science Foundation of China [41225018] ; IAM [IAM201305]
WOS IDWOS:000334199900001
Funding OrganizationNSFC
SubtypeArticle
Department[Zhang, Wenyu;
Su, Zhongyue;
Zhang, Hongli;
Zhao, Yanru;
Zhao, Zhiyuan] Lanzhou Univ, Key Lab Arid Climat Change & Reducing Disaster Ga, Coll Atmospher Sci, Key Lab Semiarid Climate Change,Minist Educ, Lanzhou 730000, Peoples R China
Citation statistics
Document Type期刊论文
Identifierhttps://ir.lzu.edu.cn/handle/262010/119407
Collection大气科学学院
物理科学与技术学院
Corresponding AuthorZhang, Wenyu
Affiliation
Lanzhou Univ, Key Lab Arid Climat Change & Reducing Disaster Ga, Coll Atmospher Sci, Key Lab Semiarid Climate Change,Minist Educ, Lanzhou 730000, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Wenyu,Su, Zhongyue,Zhang, Hongli,et al. Hybrid Wind Speed Forecasting Model Study Based on SSA and Intelligent Optimized Algorithm[J]. ABSTR APPL ANAL,2014:-.
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.ABSTR APPL ANAL,-.
MLA Zhang, Wenyu,et al."Hybrid Wind Speed Forecasting Model Study Based on SSA and Intelligent Optimized Algorithm".ABSTR APPL ANAL (2014):-.
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