Load Forecasting Mechanism for e-Learning Infrastructures Using Exponential Smoothing

2011 ◽  
Author(s):  
Agustin C. Caminero ◽  
Salvador Ros ◽  
Roberto Hern´ndez ◽  
Antonio Robles-Gomez ◽  
Rafael Pastor
Keyword(s):  
Load Forecasting ◽  
Exponential Smoothing ◽  
E Learning

Cloud-based architecture for web applications with load forecasting mechanism: a use case on the e-learning services of a distant university

2014 ◽  
Vol 68 (3) ◽  
pp. 1556-1578 ◽  
Author(s):  
Salvador Ros ◽  
Agustín C. Caminero ◽  
Roberto Hernández ◽  
Antonio Robles-Gómez ◽  
Llanos Tobarra
Keyword(s):  
Web Applications ◽  
Load Forecasting ◽  
Use Case ◽  
E Learning

Load Forecasting of Zhejiang Province Based on Combined Optimization Methods

2014 ◽  
Vol 998-999 ◽  
pp. 1046-1051
Author(s):  
Qian Xu ◽  
Zhou Lan ◽  
Jin Hua Huang ◽  
Hong Hao Qin ◽  
Xiao Min Xu
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Prediction Accuracy ◽  
Load Forecasting ◽  
Electricity Consumption ◽  
Optimization Methods ◽  
Exponential Smoothing ◽  
Zhejiang Province ◽  
Fitting Method

On the basis of analysis in Zhejiang, this paper uses the trend fitting method, the quadratic exponential smoothing model and multiple linear regression and grey GM (1, 1) portfolio model to forecast electricity consumption in 2012-2020 in Zhejiang, and compare the various methods of prediction accuracy.

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