The initial phase will focus on digitally modelling how ocean waves interact with Eco Wave Power’s proprietary floaters. Using AI engineering’s PAMICS simulation technology, the companies will evaluate floater behaviour, structural loads, and theoretical energy input under different sea conditions. The companies also plan to compare simulated results with real-world sensor measurements and begin developing machine learning capabilities for forecasting energy yield and system loads. A key objective is to determine how the digital twin can be adapted to different project locations, potentially allowing Eco Wave Power to transfer engineering knowledge and operational insights more efficiently as it expands into new markets. “For us, AI is not simply a software layer that we add to our technology – it is an opportunity to fundamentally improve how we understand, design, predict and ultimately operate wave energy systems,” said Inna Braverman, Founder and CEO of Eco Wave Power. “Phase 1 of this collaboration is therefore very practical. We will model wave loading, floater behaviour, structural forces, and theoretical energy input, while beginning to develop machine learning capabilities for forecasting loads and energy yield. Importantly, we will also examine how those models can be transferred to new sites with different wave conditions.” The...