Electricity load forecasting using hybrid of multiplicative double seasonal exponential smoothing model with artificial neural network
Electricity load forecasting often has many properties such as the nonlinearity, double seasonal cycles, and others those may be obstacles for accurate forecasting using some classical statistical models. Many papers in this field have proposed using double seasonal (DS) exponential smoothing model...
Saved in:
Main Author: | Fadhil, Naam Salem |
---|---|
Format: | Thesis |
Published: |
2013
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/42112/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:81860 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Electricity load forecasting using hybrid of multiplicative double seasonal exponential smoothing model with artificial neural network
by: Shukur, Osamah Basheer, et al.
Published: (2014) -
Comparison of double exponential smoothing for holt's method and artificial neural network in forecasting the Malaysian banking stock markets
by: Bahtiar Jamili Zaini, et al.
Published: (2020) -
Comparison of Double Exponential Smoothing for Holt’s Method and Artificial Neural Network in Forecasting the Malaysian Banking Stock Markets
by: Bahtiar Jamili Zaini, et al.
Published: (2020) -
Comparison of Double Exponential Smoothing for Holt’s Method and Artificial Neural Network in Forecasting the Malaysian Banking Stock Markets
by: Zaini, Bahtiar Jamili, et al.
Published: (2020) - Electricity load forecasting in UTP using moving averages and exponential smoothing techniques