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...
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2012
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| Online Access: | http://umpir.ump.edu.my/id/eprint/2462/1/ICEEB_Conf_final_.pdf http://umpir.ump.edu.my/id/eprint/2462/ |
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| _version_ | 1831521211516977152 |
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| author | Ahmad, Salman Razman, Mat Tahar |
| author_facet | Ahmad, Salman Razman, Mat Tahar |
| author_sort | Ahmad, Salman |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.ump.umpir.2462 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2012 |
| 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. . (Published) |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Ahmad, Salman Razman, Mat Tahar Long-term Electricity Forecasting: A System Dynamics Approach |
| title | 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_short | Long-term Electricity Forecasting: A System Dynamics Approach |
| title_sort | long-term electricity forecasting: a system dynamics approach |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/2462/1/ICEEB_Conf_final_.pdf http://umpir.ump.edu.my/id/eprint/2462/ |
| url_provider | http://umpir.ump.edu.my/ |