Название: Data Science For Wind Energy Автор: Yu Ding Издательство: CRC Press Год: 2020 Формат: PDF Страниц: 425 Размер: 62,88 МБ Язык: English
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. Features: - Provides an integral treatment of data science methods and wind energy applications - Includes specific demonstration of particular data science methods and their use in the context of addressing wind energy needs - Presents real data, case studies and computer codes from wind energy research and industrial practice - Covers material based on the author's ten plus years of academic research and insights
UK Wind Energy Technologies Название: UK Wind Energy Technologies Автор: Edited by Simon Hogg and Christopher J. Crabtree Издательство: Routledge Год: 2017 Формат: PDF Страниц:...
Wind Turbines: Design, Control and Applications Название: Wind Turbines: Design, Control and Applications Автор: Edited by Abdel Ghani Aissaoui and Ahmed Tahour Издательство: ExLi4EvA Год: 2016...
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Data Science For Wind Energy 
