Data science for wind energy / (Record no. 130591)
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000 -LEADER | |
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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 |
No items available.