ABSTRACT This thesis is a study of short-term electric power forecasting in the Nigerian power system using artificial neural network model. The model is created in the form of a simulation program written with MATLAB tool. The model, a multilayer timedelayed feed-forward artificial neural network trained with error back propagation algorithm, was made to study the pre-historical load pattern of a typical Nigerian power system in a supervised training manner. After presenting the model with a reasonable number of training samples, the model could forecast correctly electric power supply in the Nigerian power system 24 hours in advance. An absolute mean error of 4.27% was obtained when the trained neural network model was tested on one week, daily hourly load data of a typical Nigerian power station. This result demonstrates that ANN is a powerful tool for load forecasting.
F., N (2022). Short-Term Electric Power Forecast in the Nigerian Power System Using Artificial Neural Network. Afribary. Retrieved from https://track.afribary.com/works/short-term-electric-power-forecast-in-the-nigerian-power-system-using-artificial-neural-network
F., NWEKE "Short-Term Electric Power Forecast in the Nigerian Power System Using Artificial Neural Network" Afribary. Afribary, 13 Oct. 2022, https://track.afribary.com/works/short-term-electric-power-forecast-in-the-nigerian-power-system-using-artificial-neural-network. Accessed 02 Oct. 2024.
F., NWEKE . "Short-Term Electric Power Forecast in the Nigerian Power System Using Artificial Neural Network". Afribary, Afribary, 13 Oct. 2022. Web. 02 Oct. 2024. < https://track.afribary.com/works/short-term-electric-power-forecast-in-the-nigerian-power-system-using-artificial-neural-network >.
F., NWEKE . "Short-Term Electric Power Forecast in the Nigerian Power System Using Artificial Neural Network" Afribary (2022). Accessed October 02, 2024. https://track.afribary.com/works/short-term-electric-power-forecast-in-the-nigerian-power-system-using-artificial-neural-network