Artificial Neural Network Base Short-Term Electricity Load Forecasting: A Case Study of A 132/33kv Transmission Sub-Station
Forecasting of electrical load is extremely important for the effective and efficient operation of any power system. Good forecasts results help in minimizing the risk in decision making and reduces the costs of operating the power plant. This work focuses on the short-term load forecast of the 132/33KV transmission sub-station at Port-Harcourt, Nigeria, using the artificial neural network...
Published at International Journal of Energy Economics and Policy
Published in 2021
Isaac Adekunle Samuel, Segun Ekundayo, Ayokunle Awelewa, Tobiloba Emmanuel Somefun, Adeyinka Adewale
Samuel Isaac » R. Engr. Isaac A. Samuel obtained his Ph.D degree from Covenant University, March 2017. He is a researcher and faculty at the Department of Electrical and Information Engineering, College of Engineering, Ota, Ogun State. He obtained his PGD and M Eng. degree in Electrical Engineering and obtained a PGD in Management from Bayero University, Kano. He is a Registered Engineer with COREN. He has a... view full profile
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