Sequential Monte Carlo in sequence
Reliability evaluation is one of the most needed in the reliability world, especially in the utility world. A stable network system needs to plan wisely to meet user demands. To make it to reality, it needs to check the reliability of the network system. In this research, Sequential Monte Carlo is p...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Institution of Engineering and Technology
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42094/ http://umpir.ump.edu.my/id/eprint/42094/1/Sequential%20Monte%20Carlo%20in%20sequence.pdf http://umpir.ump.edu.my/id/eprint/42094/2/Sequential%20Monte%20Carlo%20in%20sequence_ABS.pdf |
| _version_ | 1848826518387556352 |
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| author | Nur Nabihah Rusyda, Roslan Noor Fatin Farhanie, Mohd Fauzi Mohd Ikhwan, Muhammad Ridzuan |
| author_facet | Nur Nabihah Rusyda, Roslan Noor Fatin Farhanie, Mohd Fauzi Mohd Ikhwan, Muhammad Ridzuan |
| author_sort | Nur Nabihah Rusyda, Roslan |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Reliability evaluation is one of the most needed in the reliability world, especially in the utility world. A stable network system needs to plan wisely to meet user demands. To make it to reality, it needs to check the reliability of the network system. In this research, Sequential Monte Carlo is part of the Monte Carlo Simulation and one of the most used techniques to check the reliability by including variance reduction in the simulation. There will be two cases present in this paper, Case A and Case B, and the simulation for each case set with a different number of sequences with a comparable percentage of variance reduction. The importance of the sequence will determine the accuracy of the simulations. The reliability indices SAIFI, SAIDI, and CAIDI can be used to compare simulation accuracy. The best simulation is when the reliability indices recorded small values, however the size of sample should be larger to get high accuracy. Thus, it shows that the variance reduction with five sequences has a more efficient simulation than the two sequences. |
| first_indexed | 2025-11-15T03:46:05Z |
| format | Conference or Workshop Item |
| id | ump-42094 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:46:05Z |
| publishDate | 2022 |
| publisher | Institution of Engineering and Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-420942024-09-30T04:45:03Z http://umpir.ump.edu.my/id/eprint/42094/ Sequential Monte Carlo in sequence Nur Nabihah Rusyda, Roslan Noor Fatin Farhanie, Mohd Fauzi Mohd Ikhwan, Muhammad Ridzuan T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Reliability evaluation is one of the most needed in the reliability world, especially in the utility world. A stable network system needs to plan wisely to meet user demands. To make it to reality, it needs to check the reliability of the network system. In this research, Sequential Monte Carlo is part of the Monte Carlo Simulation and one of the most used techniques to check the reliability by including variance reduction in the simulation. There will be two cases present in this paper, Case A and Case B, and the simulation for each case set with a different number of sequences with a comparable percentage of variance reduction. The importance of the sequence will determine the accuracy of the simulations. The reliability indices SAIFI, SAIDI, and CAIDI can be used to compare simulation accuracy. The best simulation is when the reliability indices recorded small values, however the size of sample should be larger to get high accuracy. Thus, it shows that the variance reduction with five sequences has a more efficient simulation than the two sequences. Institution of Engineering and Technology 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42094/1/Sequential%20Monte%20Carlo%20in%20sequence.pdf pdf en http://umpir.ump.edu.my/id/eprint/42094/2/Sequential%20Monte%20Carlo%20in%20sequence_ABS.pdf Nur Nabihah Rusyda, Roslan and Noor Fatin Farhanie, Mohd Fauzi and Mohd Ikhwan, Muhammad Ridzuan (2022) Sequential Monte Carlo in sequence. In: IET Conference Proceedings. 2022 Engineering Technology International Conference, ETIC 2022 , 7 - 8 September 2022 , Kuantan, Virtual. pp. 31-35., 2022 (22). ISSN 2732-4494 ISBN 978-183953782-0 (Published) https://doi.org/10.1049/icp.2022.2564 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Nur Nabihah Rusyda, Roslan Noor Fatin Farhanie, Mohd Fauzi Mohd Ikhwan, Muhammad Ridzuan Sequential Monte Carlo in sequence |
| title | Sequential Monte Carlo in sequence |
| title_full | Sequential Monte Carlo in sequence |
| title_fullStr | Sequential Monte Carlo in sequence |
| title_full_unstemmed | Sequential Monte Carlo in sequence |
| title_short | Sequential Monte Carlo in sequence |
| title_sort | sequential monte carlo in sequence |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/42094/ http://umpir.ump.edu.my/id/eprint/42094/ http://umpir.ump.edu.my/id/eprint/42094/1/Sequential%20Monte%20Carlo%20in%20sequence.pdf http://umpir.ump.edu.my/id/eprint/42094/2/Sequential%20Monte%20Carlo%20in%20sequence_ABS.pdf |