Data Science For Wind Energy

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Data Science For Wind EnergyISBN13:9780367729097ISBN10:0367729091Author:Ding, Yu (Author)Description:Data Science For Wind Energy Provides An In-Depth Discussion On How Data Science Methods Can Improve Decision Making For Wind Energy Applications, Near-Ground Wind Field Analysis And Forecast, Turbine Power Curve Fitting And Performance Analysis, Turbine Reliability Assessment, And Maintenance Optimization For Wind Turbines And Wind Farms A Broad Set Of Data Science Methods Covered, Including Time Series Models, Spatio-Temporal Analysis, Kernel Regression, Decision Trees, Knn, Splines, Bayesian Inference, And Importance Sampling More Importantly, The Data Science Methods Are Described In The Context Of Wind Energy Applications, With Specific Wind Energy Examples And Case Studies Please Also Visit The Author's Book Site At S: Aml Engr Tamu Edubook-Dswe Featuresprovides An Integral Treatment Of Data Science Methods And Wind Energy Applicationsincludes Specific Demonstration Of Particular Data Science Methods And Their Use In The Context Of Addressing Wind Energy Needspresents Real Data, Case Studies And Computer Codes From Wind Energy Research And Industrial Practicecovers Material Based On The Author's Ten Plus Years Of Academic Research And Insights Binding:Paperback, PaperbackPublisher:CRC PressPublication Date:2020-12-18Weight:1.36 lbsDimensions:Number of Pages:400Language:English

Price: 64.54 USD

Location: USA

End Time: 2024-12-03T17:53:25.000Z

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