Beyond wind speed: Integrating oceanic indices and time-lagged features for superior wind energy prediction
Fig 2
Correlation heatmap illustrating the relationships between wind power generation and various climate indices.
The color gradient represents correlation values, with red indicating strong positive correlations and blue indicating strong negative correlations. The WIND and POWER variables exhibit a strong positive correlation (0.95), while other indices, such as AMO, ENSO, and MEI, show varying degrees of influence on wind power. This analysis helps identify key climate factors that affect wind power variability.