Analýza hlavních komponent při identifikaci větrných ramp

The aim of this work is to analyze the time series generated by wind power in order to identify and forecast sharp rise and fall in the short term. As part of the implementation, a software will be created that will automatically analyze the retrieved data. The software will identify the wind ramps according to various definitions, according to the desired sensitivity. It will automatically generate a table of conditional probabilities of wind ramps depending on the values of the main components. In the end, it will verify the results by principal component analysis. According to the tables of conditional probabilities and actual values of the main components, sharp increase or decrease in wind generated energy will be predicted.