Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/12126
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Muthukumaran, Sithambaram | - |
dc.contributor.author | Thyagarajah, K. | - |
dc.contributor.author | Paulraj, Murugesa Pandiyan, Prof. Madya Dr. | - |
dc.date.accessioned | 2011-05-27T01:12:27Z | - |
dc.date.available | 2011-05-27T01:12:27Z | - |
dc.date.issued | 2011-04 | - |
dc.identifier.citation | European Journal of Scientific Research , vol.51(3), 2011 , pages 315-320 | en_US |
dc.identifier.issn | 1450-216X | - |
dc.identifier.uri | http://www.eurojournals.com/EJSR_51_3_03.pdf | - |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/12126 | - |
dc.description | Link to publisher's homepage at http://www.eurojournals.com/ | en_US |
dc.description.abstract | Short Term Load Forecasting (STLF) is an important tool for successful planning and operation of power generating stations. This paper proposes neural network algorithm for STLF using Functional Link Neural Network (FLN) with Slope Parameter. This Neural Network Algorithm includes peak and minimum loads and load factors as additional inputs for the final forecast. The Proposed Functional Link Network with Slope Parameter (FLNSP) is tested for the Tamilnadu state, (India) grid data and the results are compared with the Conventional Back Propagation (CBP) method. Simulation results indicate that the proposed forecasting techniques are effective. | en_US |
dc.language.iso | en | en_US |
dc.publisher | EuroJournals Publishing | en_US |
dc.subject | Load forecasting | en_US |
dc.subject | Back propagation | en_US |
dc.subject | Functional Link Network | en_US |
dc.subject | Slope parameter | en_US |
dc.title | Short Term Load Forecasting using Functional Link Network | en_US |
dc.type | Article | en_US |
dc.contributor.url | muthu2kumaran@gmail.com | en_US |
dc.contributor.url | paul@unimap.edu.my | en_US |
Appears in Collections: | School of Mechatronic Engineering (Articles) Paulraj Murugesa Pandiyan, Assoc. Prof. Dr. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
shorten term load forecasting.pdf | 77.32 kB | Adobe PDF | View/Open |
Items in UniMAP Library Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.