Long term multi-scale analysis of the daily peak load based on the Empirical Mode Decomposition

Author(s):  
M. Ould Mohamed Mahmoud ◽  
F. Mhamdi ◽  
M Jaidane-Saidane
2013 ◽  
Vol 846-847 ◽  
pp. 1270-1273
Author(s):  
Shi Bao Jiang ◽  
Chuan Feng Bai ◽  
Cui Feng Du

Traffic analysis and forecast are the classic topics of telecommunication research, as they provide strategic ground to address the issues such as mobile networks traffic jam, network coverage planning design, marketing management etc. On the basis of the empirical mode decomposition theory and methods, this article first implements multi-scale analysis of the time series of traffic, then it goes on to executes RBF neural network based on the different compositions, and finally reach the forecast expectation of voice traffics of selected base stations.


2013 ◽  
Vol 34 (9) ◽  
pp. 2078-2084 ◽  
Author(s):  
Yun-fei Wang ◽  
Du-yan Bi ◽  
De-qin Shi ◽  
Tian-jun Huang ◽  
Di Liu

2021 ◽  
Vol 660 (1) ◽  
pp. 012131
Author(s):  
Hailong Sun ◽  
Yingxin Liu ◽  
Zheng Wei ◽  
Xu shi ◽  
Yahong Wang ◽  
...  

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