Modeling and Forecasting of Short-Term Half-Hourly Electric Load at the University of Ibadan, Nigeria.
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ABSTRACT In this study, the short-term load pattern for the University of Ibadan was investigated and a multilayered 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.
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APA
(2026). Modeling and Forecasting of Short-Term Half-Hourly Electric Load at the University of Ibadan, Nigeria.. Afribary. Retrieved June 14, 2026, from http://library.afribary.com/works/modeling-and-forecasting-of-short-term-half-hourly-electric-load-at-the-university-of-ibadan-nigeria
MLA
"Modeling and Forecasting of Short-Term Half-Hourly Electric Load at the University of Ibadan, Nigeria.." Afribary, 6 Jun. 2026, http://library.afribary.com/works/modeling-and-forecasting-of-short-term-half-hourly-electric-load-at-the-university-of-ibadan-nigeria. Accessed June 14, 2026.
Chicago
"Modeling and Forecasting of Short-Term Half-Hourly Electric Load at the University of Ibadan, Nigeria.." Afribary (2026). Accessed June 14, 2026. http://library.afribary.com/works/modeling-and-forecasting-of-short-term-half-hourly-electric-load-at-the-university-of-ibadan-nigeria