Wind profile prediction using linear Markov chains: A linear algebra approach
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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.
CitationGarcia-Planas, M.I., Gongadze, T. Wind profile prediction using linear Markov chains: A linear algebra approach. "IEEE Latin America transactions", Febrer 2018, vol. 16, núm. 2, p. 536-541.