• Eco Wave Power completed the first phase of its AI-powered digital twin development with Germany-based AI engineering.
• The physics-based model simulates wave interactions with proprietary floaters, incorporating initial machine-learning capabilities for energy and load forecasting.
• Researchers also evaluated adapting the model to different wave conditions, potentially transferring engineering insights across future projects.
• Subsequent phases would extend modeling to energy conversion, integrate operational data and introduce broader AI-driven optimization.
• The digital twin could help coastal data centers coordinate electricity consumption with wave-energy availability; discussions with developers are underway.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Eco Wave Power Global AB (publ) published the original content used to generate this news brief via PR Newswire (Ref. ID: 202611020830PR_NEWS_USPR_____IO86597) on November 02, 2026, and is solely responsible for the information contained therein.