首页|New Machine Learning Findings from Jiangsu University Described (A Reduced Order Modeling-based Machine Learning Approach for Wind Turbine Wake Flow Estimation From Sparse Sensor Measurements)
New Machine Learning Findings from Jiangsu University Described (A Reduced Order Modeling-based Machine Learning Approach for Wind Turbine Wake Flow Estimation From Sparse Sensor Measurements)
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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 originating from Jiangsu, People’s Republic of China, by NewsRx correspondents, research stated, “A comprehensive understand ing of wind turbine wake characteristics is vital, particularly in the context o f expanding large offshore wind farms. Existing wake measurement techniques prov ide only spatially sparse wake measurement data, limiting their utility in preci se wind turbine design and control.”
JiangsuPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningJiangsu University
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