Intelligent data mining and analysis in power and energy systems : (Record no. 92935)

000 -LEADER
fixed length control field 08614cam a2200529 i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250922104341.0
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 250922s2023 njum ob u001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119834021
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119834052
Qualifying information (electronic bk. : oBook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119834045
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 111983404X
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119834038
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119834031
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1119834058
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781119834021
Qualifying information hardcover
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1002/9781119834052
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1344159232
037 ## - SOURCE OF ACQUISITION
Stock number 9979002
Source of stock number/acquisition IEEE
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 04 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK1001
Item number .I577 2023
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.31
Edition number 23/eng/20220909
245 00 - TITLE STATEMENT
Title Intelligent data mining and analysis in power and energy systems :
Remainder of title models and applications for smarter efficient power systems /
Statement of responsibility, etc edited by Zita Vale, Tiago Pinto, Michael Negnevitsky, Ganesh Kumar Venayagamoorthy.
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken, New Jersey :
Name of publisher, distributor, etc John Wiley & Sons, Inc.,
Date of publication, distribution, etc [2023]
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xxvii, 451 pages) :
Other physical details illustrations (some color)
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent.
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia.
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier.
340 ## - PHYSICAL MEDIUM
Source rdacc
Authority record control number or standard number http://rdaregistry.info/termList/RDAColourContent/1003.
490 1# - SERIES STATEMENT
Series statement IEEE press series on power and energy systems ;
Volume number/sequential designation 119.
520 ## - SUMMARY, ETC.
Summary, etc "The increasing penetration of distributed renewable energy sources and the consequent empowerment of consumers to become active players in mitigating the lack of generation flexibility with demand flexibility, are driving the power and energy system towards an historic paradigm shift. The small scale, diversity, and number of new players involved in the power and energy field, potentiate a significant growth of generated data. Moreover, advances in telecommunications and digitalization hugely increased the volume of data that results from power and energy components, installations, and systems operation. This data is becoming more and more important for power and energy systems operation and planning, with relevant impact on all involved entities, from producers, consumers and aggregators, to market and system operators. However, although the power and energy community is fully aware of the intrinsic value of the data, the methods to deal with it still require significant improvements and research. Data mining and intelligent data analysis are thereby playing a crucial role in this domain, by enabling players to improve their decision-making process and gain awareness of the power and energy environment. This book brings together the state-of-the-art advances in intelligent data mining and analysis as drivers for the needed evolution of power and energy systems. Although there are some recent books on data mining in general, there is no significant review/survey material on data mining and intelligent data analysis models and their applications in power and energy systems."--
Assigning source Provided by publisher.
545 0# - BIOGRAPHICAL OR HISTORICAL DATA
Biographical or historical note About the Author<br/>Zita Vale, PhD, is a Full Professor in the Electrical Engineering Department at the School of Engineering of the Polytechnic of Porto and Director of the GECAD Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development. She is the Chair of the IEEE PES Working Group on Intelligent Data Mining and Analysis.<br/><br/>Tiago Pinto, PhD, is an Assistant Professor at the University of Trás-os-Montes e Alto Douro, and a senior researcher at INESC-TEC, Portugal. During the development of this book he was with the GECAD Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development.<br/><br/>Michael Negnevitsky, PhD, is the Chair Professor in Power Engineering and Computational Intelligence, and Director of the Centre for Renewable Energy and Power Systems of the University of Tasmania, Australia.<br/><br/>Ganesh Kumar Venayagamoorthy, PhD, is the Duke Energy Distinguished Professor of Electrical and Computer Engineering at Clemson University. He is a Fellow of the IEEE, Institution of Engineering and Technology, South African Institute of Electrical Engineers and Asia-Pacific Artificial Intelligence Association.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Electric power systems.
Authority record control number https://id.loc.gov/authorities/subjects/sh85041921.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
Authority record control number https://id.loc.gov/authorities/subjects/sh97002073.
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Vale, Zita,
Authority record control number https://id.loc.gov/authorities/names/nb2011000362
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pinto, Tiago,
Titles and other words associated with a name PhD,
Authority record control number https://id.loc.gov/authorities/names/n2017187566
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Negnevitsky, Michael,
Authority record control number https://id.loc.gov/authorities/names/n2001001254
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Venayagamoorthy, Ganesh Kumar,
Authority record control number https://id.loc.gov/authorities/names/no2022110949
Relator term editor.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title IEEE press series on power and energy systems ;
Volume number/sequential designation 119.
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://onlinelibrary.wiley.com/doi/book/10.1002/9781119834052
Link text Full text is available at Wiley Online Library Click here to view
942 ## - ADDED ENTRY ELEMENTS
Source of classification or shelving scheme
Item type EBOOK
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Date acquired Source of acquisition Full call number Date last seen Price effective from Item type
          COLLEGE LIBRARY COLLEGE LIBRARY 2025-09-22 ALBASA Consortium 621.31 In813 2022 2025-09-22 2025-09-22 EBOOK