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Marine and Hydrokinetic Energy Research Highlights

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PNNL Develops EyeSea, a Machine-Learning Tool to Automate Video Analysis of MHK Sites

New tool aids in determining the environmental impact of tidal, wave, and small hydropower

November 2017

A new tool, called EyeSea uses machine vision algorithms to "watch" underwater video footage and flag footage where a fish or mammal is near a marine energy turbine. If deployed, EyeSea could improve understanding of wildlife interactions and help safely deploy wave energy technologies.

Wind and Wildlife Interactions: A World-Wide Solution Cannot Be "One Size Fits All"

Research shows what's happening at individual wind energy sites

October 2017

International group researches adaptive management to reduce wind energy and wildlife interactions. Adaptive management has the potential to reduce scientific uncertainty and improve policies and practices for future wind development. It may also advance the wind energy industry while simultaneously reducing environmental effects.

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