Study of wind speed in the Northeast region of Brazil
Hierarchical grouping; Wind energy; Multiscale entropy.
This study investigated the potential and complexity of time series for wind speed in the period from 19 to 2097 in the Northeast region of Brazil. To understand the temporal behavior of the variable in studies, hierarchical clustering and multiscale entropy methods were used. It was observed that there were no occurrences of any of the longest months or throughout the months that were observed in the winter seasons and in the spring territory. And, in the series of better use of time or energy, for a better use, for a better time scale, that is, for a greater intensity of resources, for decision-making over time, for decision-making better quality, for better use, for decision making and direction. pursuit of sustainable development. The results also show the importance of exploratory techniques and information theory in studies of meteorological/climatological events.