Spatial load forecasting using fuzzy logic technology / Azmir Aman
This report describes the Fuzzy logic technology to fuse the available information for spatial load forecasting. The developed program is performed by Fuzzy Tech Version 5.12. Different approach in spatial load forecasting based on land usage load modeling has been used to improve the performance of...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | en |
| Published: |
2003
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/79496/1/79496.PDF https://ir.uitm.edu.my/id/eprint/79496/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1833077151181570048 |
|---|---|
| author | Aman, Azmir |
| author_facet | Aman, Azmir |
| author_sort | Aman, Azmir |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This report describes the Fuzzy logic technology to fuse the available information for spatial load forecasting. The developed program is performed by Fuzzy Tech Version 5.12. Different approach in spatial load forecasting based on land usage load modeling has been used to improve the performance of distribution load forecasting. Fuzzy Logic is applied in this forecast to aggregate appropriate geographic information to formulate future load growth based on different anticipated scenarios. For the purpose of this project, the Mamdani type of fuzzy controller was used. The assessment of the program has been obtained after making a comparison of the target load. The performance of the developed is also discussed in this report. The proposed scheme can provide distribution planners other alternatives to aggregate their information for spatial load forecasting. |
| format | Thesis |
| id | my.uitm.ir-79496 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2003 |
| record_format | eprints |
| spelling | my.uitm.ir-794962024-08-19T16:38:56Z https://ir.uitm.edu.my/id/eprint/79496/ Spatial load forecasting using fuzzy logic technology / Azmir Aman Aman, Azmir Electricity This report describes the Fuzzy logic technology to fuse the available information for spatial load forecasting. The developed program is performed by Fuzzy Tech Version 5.12. Different approach in spatial load forecasting based on land usage load modeling has been used to improve the performance of distribution load forecasting. Fuzzy Logic is applied in this forecast to aggregate appropriate geographic information to formulate future load growth based on different anticipated scenarios. For the purpose of this project, the Mamdani type of fuzzy controller was used. The assessment of the program has been obtained after making a comparison of the target load. The performance of the developed is also discussed in this report. The proposed scheme can provide distribution planners other alternatives to aggregate their information for spatial load forecasting. 2003 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/79496/1/79496.PDF Spatial load forecasting using fuzzy logic technology / Azmir Aman. (2003) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). |
| spellingShingle | Electricity Aman, Azmir Spatial load forecasting using fuzzy logic technology / Azmir Aman |
| title | Spatial load forecasting using fuzzy logic technology / Azmir Aman |
| title_full | Spatial load forecasting using fuzzy logic technology / Azmir Aman |
| title_fullStr | Spatial load forecasting using fuzzy logic technology / Azmir Aman |
| title_full_unstemmed | Spatial load forecasting using fuzzy logic technology / Azmir Aman |
| title_short | Spatial load forecasting using fuzzy logic technology / Azmir Aman |
| title_sort | spatial load forecasting using fuzzy logic technology / azmir aman |
| topic | Electricity |
| url | https://ir.uitm.edu.my/id/eprint/79496/1/79496.PDF https://ir.uitm.edu.my/id/eprint/79496/ |
| url_provider | http://ir.uitm.edu.my/ |
