Short-term electricity prices forecasting based on support vector regression and Auto-regressive integrated moving average modeling | |
Che, JX; Wang, JZ | |
刊名 | ENERGY CONVERSION AND MANAGEMENT
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2010-10 | |
卷号 | 51期号:10页码:1911-1917 |
关键词 | Support vector regression ARIMA Artificial neural networks Price forecasting Competitive market |
ISSN号 | 0196-8904 |
通讯作者 | Wang, JZ (reprint author), Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Peoples R China. |
学科主题 | Thermodynamics; Energy & Fuels; Mechanics; Physics |
出版地 | OXFORD |
语种 | 英语 |
WOS记录号 | WOS:000278730100010 |
内容类型 | 期刊论文 |
源URL | [http://ir.lzu.edu.cn/handle/262010/118340] ![]() |
专题 | 数学与统计学院_期刊论文 |
推荐引用方式 GB/T 7714 | Che, JX,Wang, JZ. Short-term electricity prices forecasting based on support vector regression and Auto-regressive integrated moving average modeling[J]. ENERGY CONVERSION AND MANAGEMENT,2010,51(10):1911-1917. |
APA | Che, JX,&Wang, JZ.(2010).Short-term electricity prices forecasting based on support vector regression and Auto-regressive integrated moving average modeling.ENERGY CONVERSION AND MANAGEMENT,51(10),1911-1917. |
MLA | Che, JX,et al."Short-term electricity prices forecasting based on support vector regression and Auto-regressive integrated moving average modeling".ENERGY CONVERSION AND MANAGEMENT 51.10(2010):1911-1917. |
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