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study of neural networks for electric power load forecasting
Wang Hui; Li Bao-Sen; Han Xin-Yang; Wang Dan-Li; Jin Hong
2006
Conference Name3rd International Symposium on Neural Networks (ISNN 2006)
Pages1277-1283
Conference DateMAY 28-31,
Conference PlaceChengdu, PEOPLES R CHINA
Indexed TypeSCI
Publish PlaceHEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
PublisherADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 2, PROCEEDINGS
ISSN0302-9743
ISBN3-540-34437-3
DepartmentCAS, 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.
English AbstractElectric 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
SponsorshipUniv 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
WOS IDWOS:000239483000185
Citation statistics
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/12172
Collection人机交互技术与智能信息处理实验室
Recommended Citation
GB/T 7714
Wang Hui,Li Bao-Sen,Han Xin-Yang,et al. study of neural networks for electric power load forecasting[C]. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 2, PROCEEDINGS,2006:1277-1283.
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