Feasibility-based investigation of wind turbines power prediction

In the last century people started to prefer using long-term sustainable alternative energy sources because of environmental impact of the vast primer energy consumption increase. This paper's investigations based on a Hungarian wind park's predicted and measured power datasets from February to September. Firstly, it is needed to turn out the applied measured and predicted wind values from available datasets using power curve. Knowing the statistical properties of the wind speed is very helpful with regard to the prediction of power output as the wind speed is the main input variable fed into the power prediction system. For this reason it is important to investigate the role of the power curve was used in transforming the distributions of the wind speed and its error into those of the power output. It is examined on different predicted wind ranges to draw conclusions about the specialty of the relation of wind and speed parameters. This investigation gives a theoretical base for a further wind prediction system.