03120cam a2200565Ii 4500 9780429490972 FlBoTFG 20260210180854.0 m o d cr cnu---unuuu 190607s2020 flu ob 001 0 eng d OCoLC-P eng rda pn OCoLC-P 9780429490972 electronic book 0429490976 electronic book 9780429956508 electronic book 0429956509 electronic book 9780429956515 electronic book 0429956517 electronic book 9780429956492 electronic book 0429956495 electronic book 9781138590526 1138590525 (OCoLC)1103917723 (OCoLC-P)1103917723 TJ820 .D56 2020 TEC 009070 bisacsh BUS 061000 bisacsh COM 000000 bisacsh COM 012040 bisacsh UN bicssc 621.31/21360285 23 621.45 23 Ding, Yu (Electrical and Computer Engineer), author. Data science for wind energy / Yu Ding. Boca Raton : CRC Press, [2020] 1 online resource : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier 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 OCLC-licensed vendor bibliographic record. Wind power Mathematical models. Wind power Data processing. TECHNOLOGY & ENGINEERING / Mechanical bisacsh BUSINESS & ECONOMICS / Statistics bisacsh COMPUTERS / General bisacsh COMPUTERS / Computer Graphics / Game Programming & Design bisacsh Taylor & Francis https://www.taylorfrancis.com/books/9780429490972 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf 93140 93139