Cover Image

Long-term Electricity Forecasting: A System Dynamics Approach

Electricity has become an important source of energy for human development. Forecasting electricity demand plays a pivotal role in electricity planning. It provides a mechanism to have a balance between supply and demand. A system dynamics model is developed using population and per capita consum...

Full description

Saved in:
Bibliographic Details
Main Authors: Ahmad, Salman, Razman, Mat Tahar
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/2462/1/ICEEB_Conf_final_.pdf
http://umpir.ump.edu.my/id/eprint/2462/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.2462
record_format eprints
spelling my.ump.umpir.24622018-08-10T07:49:09Z http://umpir.ump.edu.my/id/eprint/2462/ Long-term Electricity Forecasting: A System Dynamics Approach Ahmad, Salman Razman, Mat Tahar TK Electrical engineering. Electronics Nuclear engineering Electricity has become an important source of energy for human development. Forecasting electricity demand plays a pivotal role in electricity planning. It provides a mechanism to have a balance between supply and demand. A system dynamics model is developed using population and per capita consumption of electricity to forecast electricity demand for coming 10 years. Malaysia is used as a case study. It is found that that by using two variables, a fairly accurate forecast can be obtained. The simulation model estimates that at the current rate of consumption and population growth there will be a need of 192.5trillionwatt-hour of electric energy in year 2021. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/2462/1/ICEEB_Conf_final_.pdf Ahmad, Salman and Razman, Mat Tahar (2012) Long-term Electricity Forecasting: A System Dynamics Approach. In: International Conference on Environment, Energy and Biotechnology, 5-6 May 2012 , Kuala Lumpur, Malaysia. .
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ahmad, Salman
Razman, Mat Tahar
Long-term Electricity Forecasting: A System Dynamics Approach
description Electricity has become an important source of energy for human development. Forecasting electricity demand plays a pivotal role in electricity planning. It provides a mechanism to have a balance between supply and demand. A system dynamics model is developed using population and per capita consumption of electricity to forecast electricity demand for coming 10 years. Malaysia is used as a case study. It is found that that by using two variables, a fairly accurate forecast can be obtained. The simulation model estimates that at the current rate of consumption and population growth there will be a need of 192.5trillionwatt-hour of electric energy in year 2021.
format Conference or Workshop Item
author Ahmad, Salman
Razman, Mat Tahar
author_facet Ahmad, Salman
Razman, Mat Tahar
author_sort Ahmad, Salman
title Long-term Electricity Forecasting: A System Dynamics Approach
title_short Long-term Electricity Forecasting: A System Dynamics Approach
title_full Long-term Electricity Forecasting: A System Dynamics Approach
title_fullStr Long-term Electricity Forecasting: A System Dynamics Approach
title_full_unstemmed Long-term Electricity Forecasting: A System Dynamics Approach
title_sort long-term electricity forecasting: a system dynamics approach
publishDate 2012
url http://umpir.ump.edu.my/id/eprint/2462/1/ICEEB_Conf_final_.pdf
http://umpir.ump.edu.my/id/eprint/2462/
_version_ 1643664623049637888
score 13.211869

Similar Items