Comparison of time series methods for electricity forecasting: A case study in Perlis
This paper attempts to forecast the monthly electricity demand for the state of Perlis using three time series methods namely Box-Jenkins ARIMA, Multiplicative Holt-Winter Exponential Smoothing and Time Series Regression for the seasonal monthly data spanning from September 1996 to February 2004. Th...
Saved in:
Main Authors: | Abdul Rahman, Syariza, Mohd Noor, Norhafiza, Khalid, Kamal |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2005
|
Subjects: | |
Online Access: | http://repo.uum.edu.my/218/1/COMPARISON_OF_TIME_SERIES_METHODS_FOR_ELECTRICITY....pdf http://repo.uum.edu.my/218/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparison of time series forecasting methods using neural networks and Box-Jenkins model.
by: Shabri, Ani
Published: (2001) -
Forecasting electricity usage using univariate time series models
by: Lim, Hock Eam, et al.
Published: (2014) -
Application of Fuzzy Time Series Approach in Electric Load Forecasting
by: Ismail, Zuhaimy, et al.
Published: (2015) -
Automated time series forecasting
by: Ismail, Suzilah, et al.
Published: (2011) -
Improved models in fuzzy time series for forecasting
by: Sadaei, Hossein Javedani
Published: (2013)