Regression model for predicting the speed of wind flows for energy needs based on fuzzy logic

Nasrullo Khasanzoda, Inga Zicmane, Svetlana Beryozkina, Murodbek Safaraliev, Sherkhon Sultonov and Alifbek Kirgizov

Renewable Energy, 2022, vol. 191, issue C, 723-731

Abstract: Renewable energy integration becomes an important criterion for the sustainable generation of electrical power. The high introduction of wind power plants into the power system leads to some inconveniences in the power system operators’ work due to the unpredictable and variable nature of the wind speed and the power generated by wind farms. Even though the power generated at the wind power plants is not regulated by the system operator, the accurate predicting of the wind speed and the angle of its direction could solve such problems leading to improving the reliability of power supply systems.

Keywords: Autoregression; Fuzzy system; Regression model; Renewable energy sources; Wind power plant (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:191:y:2022:i:c:p:723-731

DOI: 10.1016/j.renene.2022.04.017

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