首页|New Findings on Machine Learning Described by Investigators at Carleton Universi ty (Spatially Transferable Machine Learning Wind Power Prediction Models: V-logi t Random Forests)
New Findings on Machine Learning Described by Investigators at Carleton Universi ty (Spatially Transferable Machine Learning Wind Power Prediction Models: V-logi t Random Forests)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news originatingfrom Ottawa, Canada, by NewsRx cor respondents, research stated, “Wind power prediction models provideessential in formation to wind farm developers and power system operators on the power availa ble at anundeveloped location. Traditionally, statistical models require recali bration of the model’s parameters inorder to fit the model to a specific locati on’s dynamics.”
OttawaCanadaNorth and Central Americ aCyborgsEmerging TechnologiesMachine LearningCarleton University
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