ICAME 2021, Balıkesir, Turkey, 1 - 03 September 2021, no.24, pp.1-6
Considering that many types of energy resources in the world are limited, it is inevitable to focus on renewable energy sources to meet the needs of the world’s increasing population. Ocean energy is undoubtedly one of the most efficient resources among renewable energy sources in terms of its potential. There are many studies in the literature that have been conducted about energy conversion and which are guiding for further studies [1-6]. Ocean wave energy conversion modeling methods are principally based on the basic wave parameters with some additional concepts. Although some concepts have been developed so far, with the advancing technology, scientists have sought superior solutions. The methods to be used to analyze ocean wave energy are as significant as obtaining the ocean energy itself, especially in the big data era for electricity generation and grid connection purposes. The compressive sensing (CS) technique, which outperforms the classical techniques since it uses a smaller number of samples [7-8], is one of the algorithms that can be used for such purposes and found come applications in coastal and ocean engineering [9-11]. In this paper, we examine the utilization of the CS for the efficient analysis and assessment of ocean wave energy and ocean energy conversion in general. Constructing a time series of the wave power following [12-15], the application of the CS proves to be an advantageous tool for the measurement, analysis, and assessment of wave energy and ocean energy conversion. We discuss our findings and comment on their possible usage and applications.