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Title:
study of neural networks for electric power load forecasting
Author: Wang Hui ; Li Bao-Sen ; Han Xin-Yang ; Wang Dan-Li ; Jin Hong
Conference Name: 3rd International Symposium on Neural Networks (ISNN 2006)
Conference Date: MAY 28-31,
Issued Date: 2006
Conference Place: Chengdu, PEOPLES R CHINA
Publisher: ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 2, PROCEEDINGS
Publish Place: HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
Indexed Type: SCI
ISSN: 0302-9743
ISBN: 3-540-34437-3
Department: CAS, Inst Software, Intelligence Engn Lab, Beijing, Peoples R China. Jining Elect Power Co, Shandong, Peoples R China. State Power Cooperat, Dynam Econ Res Ctr, Beijing, Peoples R China. USTB, Sch Informat Engn, Beijing, Peoples R China.
Sponsorship: Univ Electr Sci & Technol China, Chinese Univ Hong Kong, Asia Pacific Neural Network Assembly, European Neural Network Soc, IEEE Circuits & Syst Soc, IEEE Computat Intelligence Soc, Int Neural Network Soc, Natl Nat Sci Fdn China, KC Wong Educ
English Abstract: Electric Power Load Forecasting is important for the economic and secure operation of power system, and highly accurate forecasting result leads to substantial savings in operating cost and increased reliability of power supply. Conventional l
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Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/12172
Appears in Collections:人机交互技术与智能信息处理实验室_会议论文

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Recommended Citation:
Wang Hui,Li Bao-Sen,Han Xin-Yang,et al. study of neural networks for electric power load forecasting[C]. 见:3rd International Symposium on Neural Networks (ISNN 2006). Chengdu, PEOPLES R CHINA. MAY 28-31,.
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