首页|Researchers from Lancaster University Report Findings in Machine Learning (Talos Wave Energy Converter Power Output Prediction Analysis Based On a Machine Learn ing Approach)
Researchers from Lancaster University Report Findings in Machine Learning (Talos Wave Energy Converter Power Output Prediction Analysis Based On a Machine Learn ing Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting originating in Lancaster, United K ingdom, by NewsRx journalists, research stated, "Wave energy shows potential to provide electricity in a renewable manner. The TALOS WEC (Wave Energy Converter) is a unique design with six PTO (Power Take-Off) elements to provide six degree s of freedom (DOFs)." Financial support for this research came from Engineering & Physic al Sciences Research Council (EPSRC). The news reporters obtained a quote from the research from Lancaster University, "It is potentially able to harvest energy more efficiently than traditional sin gle-DOF devices. As a step towards its optimisation and control, a power predict ion model is developed, using the wave elevation and motions of the WEC to predi ct the power output of each PTO."
LancasterUnited KingdomEuropeCybor gsEmerging TechnologiesMachine LearningLancaster University
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