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Modeling and forecasting of short-term half-hourly electric load at the University of Ibadan, Nigeria
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)...
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| Format: | Article |
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2009-11
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| LEADER | 00000njm a2000000a 4500 | ||
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| 001 | oai:repository.ui.edu.ng:123456789/2053 | ||
| 042 | |a dc | ||
| 720 | |a Fadare, D. A. |e author | ||
| 720 | |a Dahunsi, O. A. |e author | ||
| 260 | |c 2009-11 | ||
| 520 | |a 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. | ||
| 024 | 8 | |a 1551-7624 | |
| 024 | 8 | |a ui_art_fadare_modeling_2009 | |
| 024 | 8 | |a The Pacific Journal of Science and Technology 10(2), pp. 471-478 | |
| 024 | 8 | |a http://ir.library.ui.edu.ng/handle/123456789/2053 | |
| 245 | 0 | 0 | |a Modeling and forecasting of short-term half-hourly electric load at the University of Ibadan, Nigeria |