Wind profile prediction using linear Markov chains: A linear algebra approach

To predict the future wind speed and wind direction is of relevance to the wind industry to maximize the power generation. In this regards, this article describes a methodology for the construction of predictive models based on linear Markov chains under linear algebra point of view. The model analyzes the direction and speed of the wind obtained from a meteorological station. This Model allows making a precise study of wind direction and speeding data; figure out the stability, the most common direction or speed, its behaviour depending on the hours or seasons.Peer ReviewedPostprint (author's final draft

Diseño y simulación de un modelo predictivo para la velocidad y dirección del viento

Disseny d'un model i creació d'un programa Matlab que llegeixi les dades de la direcció del vent, les tracti i calculi la direcció dominant. Validació de la cadena de Markov, mitjançant demostracions. Comparar la cadena de Markov versus el Model Estadísti

Diseño y simulación de un modelo predictivo para la velocidad y dirección del viento

Disseny d'un model i creació d'un programa Matlab que llegeixi les dades de la direcció del vent, les tracti i calculi la direcció dominant. Validació de la cadena de Markov, mitjançant demostracions. Comparar la cadena de Markov versus el Model Estadísti

Wind profile prediction using linear Markov chains: A linear algebra approach

To predict the future wind speed and wind direction is of relevance to the wind industry to maximize the power generation. In this regards, this article describes a methodology for the construction of predictive models based on linear Markov chains under linear algebra point of view. The model analyzes the direction and speed of the wind obtained from a meteorological station. This Model allows making a precise study of wind direction and speeding data; figure out the stability, the most common direction or speed, its behaviour depending on the hours or seasons.Peer Reviewe