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Research Paper | Statistics | Nigeria | Volume 10 Issue 8, August 2021
Modelling Wind Speed on Some Meteorological Variables as a Source of Power Generation
Ahmed Ibrahim, Nweze N. O.
Abstract: Wind speed modelling and forecasting is pertinent in order to have a power system that is reliable and secured. The Vector Autoregressive model and the logistic regression model were applied on a 23-year monthly data obtained from the Meteorological Agency FCT Abuja Nigeria. The Vector Autoregressive model shows that none of the meteorological variables namely; Monthly rainfall, Monthly temperature, and Monthly relative humidity, significantly affect Monthly wind speed. It was also found that each of the meteorological variables have varying effects on Wind speed over a future time horizon as depicted by the variable. The Wind speed was also model using the logistic regression where it was found that there is no statistically significant difference between Wind speed and the meteorological variables. To this end, this study posits that wind speed is not significantly being influenced by the meteorological variables. That is to say most of this metrological variable will not be able to generate enough heat in other to influence the wind speed for a sufficient power generation.
Keywords: Modelling, Vector Auto Regressive model, Logistics Regression Model Wind Speed and Meteorological Variables
Edition: Volume 10 Issue 8, August 2021,
Pages: 235 - 247
How to Cite this Article?
Ahmed Ibrahim, Nweze N. O., "Modelling Wind Speed on Some Meteorological Variables as a Source of Power Generation", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SR21730230503, Volume 10 Issue 8, August 2021, 235 - 247
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