兰州大学机构库 >数学与统计学院
A hybrid forecasting model based on outlier detection and fuzzy time series - A case study on Hainan wind farm of China
Wang, Jianzhou1; Xiong, Shenghua2
2014-11-01
Source PublicationENERGY   Impact Factor & Quartile Of Published Year  The Latest Impact Factor & Quartile
ISSN0360-5442
Volume76Pages:526-541
AbstractWind energy is regarded as a worldwide renewable and alternative energy that can relieve the energy shortage, reduce environmental pollution, and provide a significant potential economic benefit. In this paper, a hybrid method is developed to properly and efficiently forecast the daily wind speed in Hainan Province, China. The proposed hybrid forecasting model consists of outlier detection and a bivariate fuzzy time series, which provides a more powerful forecasting capacity of daily wind speed than that of traditional single forecasting models. To verify the developed approach, daily wind speed data from January 2008 to December 2012 in Hainan Province, China, are used for model construction and testing. The results show that the developed hybrid forecasting model achieves high forecasting accuracy and is suitable for forecasting the wind energy of China's large wind farms. (C) 2014 Elsevier Ltd. All rights reserved.
KeywordOutlier detection ARMA SPANN Bivariate fuzzy time series
Subject AreaThermodynamics ; Energy & Fuels
PublisherELSEVIER
DOI10.1016/j.energy.2014.08.064
Publication PlaceOXFORD
Indexed BySCIE ; EI
Language英语
First Inst
Funding Project国家自然科学基金项目
Project NumberNational Natural Science Foundation of China [71171102/G0107]
WOS IDWOS:000344444600052
Funding OrganizationNSFC
SubtypeArticle
EI ID20144500173464
Department[Wang, Jianzhou] Dongbei Univ Finance & Econ, Sch Stat, Dalian 116025, Peoples R China;
[Xiong, Shenghua] Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Gansu, Peoples R China
Citation statistics
Document Type期刊论文
Identifierhttps://ir.lzu.edu.cn/handle/262010/118947
Collection数学与统计学院
Corresponding AuthorXiong, Shenghua
Affiliation
1.Dongbei Univ Finance & Econ, Sch Stat, Dalian 116025, Peoples R China
2.Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Gansu, Peoples R China
Recommended Citation
GB/T 7714
Wang, Jianzhou,Xiong, Shenghua. A hybrid forecasting model based on outlier detection and fuzzy time series - A case study on Hainan wind farm of China[J]. ENERGY,2014,76:526-541.
APA Wang, Jianzhou,&Xiong, Shenghua.(2014).A hybrid forecasting model based on outlier detection and fuzzy time series - A case study on Hainan wind farm of China.ENERGY,76,526-541.
MLA Wang, Jianzhou,et al."A hybrid forecasting model based on outlier detection and fuzzy time series - A case study on Hainan wind farm of China".ENERGY 76(2014):526-541.
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