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Exponential smoothing techniques on time series river water level data

The increasing of river water level usually happens during raining season.This event can lead to devastating flash flood, which would eventually cause damage to properties and possibly, loss of human life.Such event is also known as extreme event due to the nature of the data produced, which mostly...

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Main Authors: Muhamad, Noor Shahifah, Mohamed Din, Aniza
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/15647/1/PID196.pdf
http://repo.uum.edu.my/15647/
http://www.icoci.cms.net.my/proceedings/2015/TOC.html
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spelling my.uum.repo.156472016-04-27T07:18:36Z http://repo.uum.edu.my/15647/ Exponential smoothing techniques on time series river water level data Muhamad, Noor Shahifah Mohamed Din, Aniza QA75 Electronic computers. Computer science The increasing of river water level usually happens during raining season.This event can lead to devastating flash flood, which would eventually cause damage to properties and possibly, loss of human life.Such event is also known as extreme event due to the nature of the data produced, which mostly consist of non linear pattern of data.The existence of nonlinear pattern and noise data greatly affect the quality of prediction result.Three exponential smoothing techniques have been investigated to study their ability in handling extreme river water level time series data, which are Single Exponential Smoothing Technique, Double Exponential Smoothing Technique and Holt’s Method.The techniques were performed on river water level data from three rivers in Perlis, Malaysia.From the experiments, it was found that all the three techniques have their own limitations in handling extreme data, with Double Exponential Smoothing Technique to perform better than its counterpart. 2015-08-11 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/15647/1/PID196.pdf Muhamad, Noor Shahifah and Mohamed Din, Aniza (2015) Exponential smoothing techniques on time series river water level data. In: 5th International Conference on Computing and Informatics (ICOCI) 2015, 11-13 August 2015, Istanbul, Turkey. http://www.icoci.cms.net.my/proceedings/2015/TOC.html
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Muhamad, Noor Shahifah
Mohamed Din, Aniza
Exponential smoothing techniques on time series river water level data
description The increasing of river water level usually happens during raining season.This event can lead to devastating flash flood, which would eventually cause damage to properties and possibly, loss of human life.Such event is also known as extreme event due to the nature of the data produced, which mostly consist of non linear pattern of data.The existence of nonlinear pattern and noise data greatly affect the quality of prediction result.Three exponential smoothing techniques have been investigated to study their ability in handling extreme river water level time series data, which are Single Exponential Smoothing Technique, Double Exponential Smoothing Technique and Holt’s Method.The techniques were performed on river water level data from three rivers in Perlis, Malaysia.From the experiments, it was found that all the three techniques have their own limitations in handling extreme data, with Double Exponential Smoothing Technique to perform better than its counterpart.
format Conference or Workshop Item
author Muhamad, Noor Shahifah
Mohamed Din, Aniza
author_facet Muhamad, Noor Shahifah
Mohamed Din, Aniza
author_sort Muhamad, Noor Shahifah
title Exponential smoothing techniques on time series river water level data
title_short Exponential smoothing techniques on time series river water level data
title_full Exponential smoothing techniques on time series river water level data
title_fullStr Exponential smoothing techniques on time series river water level data
title_full_unstemmed Exponential smoothing techniques on time series river water level data
title_sort exponential smoothing techniques on time series river water level data
publishDate 2015
url http://repo.uum.edu.my/15647/1/PID196.pdf
http://repo.uum.edu.my/15647/
http://www.icoci.cms.net.my/proceedings/2015/TOC.html
_version_ 1644281768598044672
score 13.211869

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