  Wind energy has an inherent intermittent character due to certain inevitable
factors of nature, such as availability of wind at different weather
conditions, wind direction etc. To study the intermittent character of wind
energy, its daily data along with the two other important quantities, wind
speed and wind direction measured in a "showcase" wind farm for a span of ten
years are analyzed applying a nonlinear robust tool Multifractal Detrended
Cross-correlation Analysis (MFDXA). MFDXA is a meticulous application for
computation of cross-correlation between simultaneously measured nonstationary
time series. Significant difference in degree of multifractality is observed
for wind energy, wind speed and wind direction. Wind direction is found to
possess the highest degree of multifractality implying that the degree of
complexity of wind direction is higher than wind speed or energy. Further
strong cross-correlation between wind energy and wind direction is an
indication that the direction of wind is one of the crucial factors in
generation of wind energy. Thus, the cross-correlation analysis between wind
energy - wind speed, and between wind energy - wind direction gives significant
information about the scaling behavior, which may have necessary inputs towards
optimization of wind power generation.
