Accurate prediction of different forecasthorizons wind speed using a recursiveradial basis function neural network

Environmental considerations have prompted the use of renewable energy resources worldwide for reduction ofgreenhouse gas emissions. An accurate prediction of wind speed plays a major role in environmental planning,energy system balancing, wind farm operation and control, power system planning, scheduling, storage capacityoptimization, and enhancing system reliability. This paper proposes an accurate prediction of wind speed basedona Recursive Radial Basis Function Neural Network (RRBFNN) possessing the three inputs of wind direction,temperature and wind speed to improve modern power system protection, control and management. Simulationresults confirm that the proposed model improves the wind speed prediction accuracy with least error whencompared with other existing prediction models.