Data science for wind energy / (Record no. 130591)

000 -LEADER
fixed length control field 03091cam a2200553Ii 4500
001 - CONTROL NUMBER
control field 9780429490972
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220509193132.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu---unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190607s2020 flu ob 001 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency OCoLC-P
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency OCoLC-P
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780429490972
-- electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0429490976
-- electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780429956508
-- electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0429956509
-- electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780429956515
-- electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0429956517
-- electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9780429956492
-- electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 0429956495
-- electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781138590526
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 1138590525
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1103917723
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC-P)1103917723
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TJ820
Item number .D56 2020
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC
Subject category code subdivision 009070
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code BUS
Subject category code subdivision 061000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 000000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 012040
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UN
Source bicssc
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.31/21360285
Edition number 23
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.45
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Ding, Yu
Titles and other words associated with a name (Electrical and Computer Engineer),
Relator term author.
245 10 - TITLE STATEMENT
Title Data science for wind energy /
Statement of responsibility, etc Yu Ding.
264 #1 -
-- Boca Raton :
-- CRC Press,
-- [2020]
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource :
Other physical details illustrations
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
520 ## - SUMMARY, ETC.
Summary, etc 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
588 ## -
-- OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Wind power
General subdivision Mathematical models.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Wind power
General subdivision Data processing.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element TECHNOLOGY & ENGINEERING / Mechanical
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element BUSINESS & ECONOMICS / Statistics
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COMPUTERS / General
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COMPUTERS / Computer Graphics / Game Programming & Design
Source of heading or term bisacsh
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Taylor & Francis
Uniform Resource Identifier https://www.taylorfrancis.com/books/9780429490972
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified OCLC metadata license agreement
Uniform Resource Identifier http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf

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