An application barnacles mating optimizer for forecasting of full load electrical power output
The application of meta-heuristic algorithms in addressing numerous real-world problems have been proven to be effective. This application has widespread use in different fields including electrical engineering. In this study, a rather new meta-heuristic algorithm is employed in full load electrical...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Universiti Malaysia Pahang
2020
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| Online Access: | http://umpir.ump.edu.my/id/eprint/28590/ http://umpir.ump.edu.my/id/eprint/28590/1/36.%20An%20application%20barnacles%20mating%20optimizer%20for%20forecasting.pdf http://umpir.ump.edu.my/id/eprint/28590/2/36.1%20An%20application%20barnacles%20mating%20optimizer%20for%20forecasting.pdf |
| _version_ | 1848823092027064320 |
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| author | Zuriani, Mustaffa Mohd Herwan, Sulaiman Bariah, Yusob Ferda, Ernawan |
| author_facet | Zuriani, Mustaffa Mohd Herwan, Sulaiman Bariah, Yusob Ferda, Ernawan |
| author_sort | Zuriani, Mustaffa |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | The application of meta-heuristic algorithms in addressing numerous real-world problems have been proven to be effective. This application has widespread use in different fields including electrical engineering. In this study, a rather new meta-heuristic algorithm is employed in full load electrical power output forecasting viz. Barnacles Mating Optimizer (BMO). Forecasting of full load electrical power output is critical in maximizing the profit from the provided megawatt hours. For this matter, the simulation involved 4 independent variables which includes ambient temperature, atmospheric pressure, relative humidity and vacuum while the output is the hourly full load electrical power output of the plant. The inputs are fed into the BMO algorithm which acts as a forecasting model. The performance of BMO is later compared against two comparable meta-heuristic algorithms namely Grey Wolf Optimizer (GWO) and Moth-flame Optimizer (MFO). Upon completing the simulation, the produced results showed that the BMO is able to produce significantly lower error rates compared to GWO and MFO. |
| first_indexed | 2025-11-15T02:51:38Z |
| format | Conference or Workshop Item |
| id | ump-28590 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T02:51:38Z |
| publishDate | 2020 |
| publisher | Universiti Malaysia Pahang |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-285902021-02-08T09:01:22Z http://umpir.ump.edu.my/id/eprint/28590/ An application barnacles mating optimizer for forecasting of full load electrical power output Zuriani, Mustaffa Mohd Herwan, Sulaiman Bariah, Yusob Ferda, Ernawan QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering The application of meta-heuristic algorithms in addressing numerous real-world problems have been proven to be effective. This application has widespread use in different fields including electrical engineering. In this study, a rather new meta-heuristic algorithm is employed in full load electrical power output forecasting viz. Barnacles Mating Optimizer (BMO). Forecasting of full load electrical power output is critical in maximizing the profit from the provided megawatt hours. For this matter, the simulation involved 4 independent variables which includes ambient temperature, atmospheric pressure, relative humidity and vacuum while the output is the hourly full load electrical power output of the plant. The inputs are fed into the BMO algorithm which acts as a forecasting model. The performance of BMO is later compared against two comparable meta-heuristic algorithms namely Grey Wolf Optimizer (GWO) and Moth-flame Optimizer (MFO). Upon completing the simulation, the produced results showed that the BMO is able to produce significantly lower error rates compared to GWO and MFO. Universiti Malaysia Pahang 2020 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/28590/1/36.%20An%20application%20barnacles%20mating%20optimizer%20for%20forecasting.pdf pdf en http://umpir.ump.edu.my/id/eprint/28590/2/36.1%20An%20application%20barnacles%20mating%20optimizer%20for%20forecasting.pdf Zuriani, Mustaffa and Mohd Herwan, Sulaiman and Bariah, Yusob and Ferda, Ernawan (2020) An application barnacles mating optimizer for forecasting of full load electrical power output. In: 12th Asian Conference on Intelligent Information and Database Systems , 23-26 March 2020 , Phuket, Thailand. pp. 1-10.. (Unpublished) (Unpublished) |
| spellingShingle | QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering Zuriani, Mustaffa Mohd Herwan, Sulaiman Bariah, Yusob Ferda, Ernawan An application barnacles mating optimizer for forecasting of full load electrical power output |
| title | An application barnacles mating optimizer for forecasting of full load electrical power output |
| title_full | An application barnacles mating optimizer for forecasting of full load electrical power output |
| title_fullStr | An application barnacles mating optimizer for forecasting of full load electrical power output |
| title_full_unstemmed | An application barnacles mating optimizer for forecasting of full load electrical power output |
| title_short | An application barnacles mating optimizer for forecasting of full load electrical power output |
| title_sort | application barnacles mating optimizer for forecasting of full load electrical power output |
| topic | QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/28590/ http://umpir.ump.edu.my/id/eprint/28590/1/36.%20An%20application%20barnacles%20mating%20optimizer%20for%20forecasting.pdf http://umpir.ump.edu.my/id/eprint/28590/2/36.1%20An%20application%20barnacles%20mating%20optimizer%20for%20forecasting.pdf |