en.Wedoany.com Reported - Eco Wave Power is advancing discussions with Florida Atlantic University (FAU) and the University of Michigan on the development of "WaveGPT," an AI-driven wave energy application, and a next-generation wave energy-powered coastal data center infrastructure designed to support the growing energy demands of artificial intelligence.

The discussions took place during a strategic meeting at Florida Atlantic University, bringing together experts in marine renewable energy, artificial intelligence, digital twins, electrical engineering, marine engineering, and energy system optimization. The initiative focuses on two complementary directions, through which Eco Wave Power aims to position itself at the intersection of renewable energy and AI infrastructure.

The first direction revolves around the continued development of WaveGPT, Eco Wave Power's AI-driven operational intelligence platform. WaveGPT is designed to transform real-time operational data from Eco Wave Power's wave energy devices into actionable insights through predictive analytics, forecasting, anomaly detection, performance optimization, and digital twin technology.

As part of this effort, Eco Wave Power recently submitted a TEAMER application jointly with Florida Atlantic University, focusing on data-driven energy flow mapping, operational intelligence, and predictive analytics for the company's wave energy technology. The project aims to leverage advanced AI methods to enhance system performance, improve operational planning, and support future commercial deployment.

The second direction involves a potential collaborative grant application among Eco Wave Power, Florida Atlantic University, and the University of Michigan, aimed at developing a wave energy-powered, AI-optimized coastal data center concept. The initiative seeks to integrate wave energy generation, advanced cooling technologies, digital twins, energy storage, and intelligent workload management into a unified platform to support future coastal AI and edge computing infrastructure.

The company's focus on AI-enabled energy infrastructure and digital twin technology has recently gained international visibility. Eco Wave Power's technology was featured in GTC keynote presentations by NVIDIA founder and CEO Jensen Huang in San Jose and Taipei, as part of demonstrations of simulation, digital twins, and real-world infrastructure applications.

The concept is based on the premise that future data centers will require not only significantly more electricity but also intelligent energy management and cooling solutions. By siting data centers in coastal environments and directly integrating them with renewable energy generation and seawater-assisted cooling technologies, Eco Wave Power and its academic partners aim to explore new ways to power the AI economy with clean energy.

According to the project concept, the proposed platform will leverage AI-driven digital twins capable of predicting wave conditions, computing workloads, cooling demands, storage availability, and grid conditions in real time, thereby enabling optimized operations across the entire energy-water-computing ecosystem.

Participants in the discussions included: Dr. Yufei Tang, Director of the Florida Power & Light Company Smart Energy Technology Center (InETech) at Florida Atlantic University; Dr. James VanZwieten, Director of the Southeast National Marine Renewable Energy Center (SNMREC) at Florida Atlantic University; Mr. Gabriel Alsenas, Associate Director of SNMREC and InETech; Dr. Sasha Fung, Postdoctoral Researcher at Florida Atlantic University; Professor Lei Zuo from the University of Michigan; Louis King; and Wei-Ying Wong.

"Artificial intelligence is transforming how energy systems are designed, monitored, and optimized," said Dr. Yufei Tang, Director of the FPL Smart Energy Technology Center (InETech) at Florida Atlantic University. "By combining marine renewable energy, advanced digital twins, predictive analytics, and intelligent control systems, we have the opportunity to develop next-generation energy infrastructure that is both sustainable and adaptable to rapidly changing energy demands. We are excited to explore these research opportunities with Eco Wave Power and our academic partners."

The proposed initiatives build on Eco Wave Power's broader strategy of integrating artificial intelligence, predictive analytics, digital twins, and renewable energy generation to create intelligent energy infrastructure capable of supporting the future industrial and digital economy.

While the discussions and grant applications remain subject to review, funding approval, and final agreements among all parties, Eco Wave Power believes these initiatives have the potential to create a new class of AI-enabled renewable energy infrastructure and further expand the company's role in the rapidly evolving energy landscape.

Eco Wave Power is expanding globally, with projects planned in Portugal, Taiwan, and India, representing a total project pipeline capacity of 404.7 megawatts.

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