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.
Fadare, D (2021). Modeling and Forecasting of Short-Term Half-Hourly Electric Load at the University of Ibadan, Nigeria.. Afribary. Retrieved from https://afribary.com/works/modeling-and-forecasting-of-short-term-half-hourly-electric-load-at-the-university-of-ibadan-nigeria
Fadare, D.A. "Modeling and Forecasting of Short-Term Half-Hourly Electric Load at the University of Ibadan, Nigeria." Afribary. Afribary, 04 Apr. 2021, https://afribary.com/works/modeling-and-forecasting-of-short-term-half-hourly-electric-load-at-the-university-of-ibadan-nigeria. Accessed 03 May. 2024.
Fadare, D.A. . "Modeling and Forecasting of Short-Term Half-Hourly Electric Load at the University of Ibadan, Nigeria.". Afribary, Afribary, 04 Apr. 2021. Web. 03 May. 2024. < https://afribary.com/works/modeling-and-forecasting-of-short-term-half-hourly-electric-load-at-the-university-of-ibadan-nigeria >.
Fadare, D.A. . "Modeling and Forecasting of Short-Term Half-Hourly Electric Load at the University of Ibadan, Nigeria." Afribary (2021). Accessed May 03, 2024. https://afribary.com/works/modeling-and-forecasting-of-short-term-half-hourly-electric-load-at-the-university-of-ibadan-nigeria