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Aririguzo, J. C.
Department of Mechanical, Engineering Michael Okpara University of Agriculture Umudike Umuahia, Abia State, Nigeria
Kalu, B. O.
Department of Mechanical, Engineering Michael Okpara University of Agriculture Umudike Umuahia, Abia State, Nigeria
ABSTRACT
This research paper investigated the optimal ANN model
for wind power forecasting in Nsukka, Enugu State, South East, Nigeria. As
countries are welcoming the call for renewable energy which serves as an
alternative to conventional sources of electric power generation, Nigeria with
its abundance of renewable energy resources should not be left out in this
drive. Wind energy conversion through the application of wind turbine is an
attractive and good alternative source for electricity generation. The power
generated from a wind turbine is dependent on several factors such as wind
speed, wind direction, fluctuations, air density, generating hours, season and
wind turbine position among others. To effectively harness wind energy present
in a region, there is need for proper forecasting. This would help in citing a
wind farm and also ascertain the amount of power that can be generated. This
paper examines the application of artificial neural network (ANN) in predicting
the wind power available in Nsukka, Enugu State South East Nigeria with a view
to determining the optimal parameters.
Keywords: Wind, Forecasting, Artificial Neural Network
https://doi.org/10.33922/j.ujet_v7i1_16
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Published
Tuesday, June 01, 2021
Issue
Vol. 7 No. 1, June 2021
Article Section
GENERAL
The contents of the articles are the sole opinion of the author(s) and not of UJET.
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