Wind Turbine Sensor Data Analysis and Production Forecast

In this paper we used wind power and meteorological data provided by a Finnish energy company and the Finnish Meteorological Institute as the research material. The study determined the most important factors which had influence to the effectiveness of the wind turbine power production. This was done by using the physical power function with statistical data analysis. Wind speed was found to be the most significant factor for the model. This was due to the fact that wind speed was the only variable which affect was exponential. Another significant factor when it comes to creating a forecast model was temperature. The affect wasn´t as powerful as with wind speed but still notable. These observations were also confirmed in statistical interpretation. A tailored forecasting model was formed for our target wind turbine on the basis of these factors: suitable modelling for necessary meteorological factors was executed and the coefficient factor was calculated. The results and especially the forecast model was seen significant and would be used in creation of a production forecast program´s first version for the energy company in question.