Abstract
Proper assessment of offshore renewable energy resources demands an integrated knowledge of the climatic and oceanographic factors that influence wave energy potential. This investigation centers on the Indian Exclusive Economic Zone (EEZ), where wave power density (WPD) is measured by using key parameters such as wave period and wave height fetched from the Copernicus Marine Data Store. The data is preprocessed with Kalman and custom bilateral filtering methods for improving quality and reducing acoustic interference. An adapted U-Net architecture is utilized for semantic segmentation to generate high-resolution wave power maps. In addition, the study investigates the interrelations between main oceanographic variables by analyzing the correlations among (i) sea surface temperature (SST) and sea surface salinity (SSS), (ii) SSS and WPD, and (iii) SST and WPD. The findings give valuable insight into the complex interactions governing marine energy availability and assist in the development of robust, climate-resilient offshore energy forecasting models.