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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Fadare, D. A. | - |
dc.contributor.author | Dahunsi, O. A. | - |
dc.date.accessioned | 2018-10-11T11:00:39Z | - |
dc.date.available | 2018-10-11T11:00:39Z | - |
dc.date.issued | 2009-11 | - |
dc.identifier.issn | 1551-7624 | - |
dc.identifier.other | ui_art_fadare_modeling_2009 | - |
dc.identifier.other | The Pacific Journal of Science and Technology 10(2), pp. 471-478 | - |
dc.identifier.uri | http://ir.library.ui.edu.ng/handle/123456789/2053 | - |
dc.description.abstract | In this study, the short-term load pattern for the University of Ibadan was investigated and a multi-layered feed-forward artificial neural networks (ANN) model was developed to forecast the time series half-hourly load pattern of the system using the load data for a period of 5 years (2000 to 2004). The study showed that the mean half-hourly load for the period of study ranged between 1.3 and 2.2 MW, and the coefficient of determination (R2-values) of the ANN predicted and the measured half-hourly load for test dataset decreased from 0.6832 to 0.4835 with increase in the lead time from 0.5 to 10.0 hours. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Akamai University | en_US |
dc.title | Modeling and forecasting of short-term half-hourly electric load at the University of Ibadan, Nigeria | en_US |
dc.type | Article | en_US |
Appears in Collections: | scholarly works |
Files in This Item:
File | Description | Size | Format | |
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(25)ui_art_fadare_modeling_2009 (26.pdf | 775.91 kB | Adobe PDF | View/Open |
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