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...
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2012
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/2462/ http://umpir.ump.edu.my/id/eprint/2462/1/ICEEB_Conf_final_.pdf |
| id |
ump-2462 |
|---|---|
| recordtype |
eprints |
| spelling |
ump-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. . |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
| collection |
Online Access |
| 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/ http://umpir.ump.edu.my/id/eprint/2462/1/ICEEB_Conf_final_.pdf |
| first_indexed |
2023-09-18T21:56:17Z |
| last_indexed |
2023-09-18T21:56:17Z |
| _version_ |
1777414100377141248 |