Improving Energy Efficiency through Data-Driven Modeling, Simulation and Optimization (Record no. 3006432)

MARC details
000 -LEADER
fixed length control field 03645naaaa2200877uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/76345
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220714184559.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number books978-3-0365-1206-8
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783036512075
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783036512068
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.3390/books978-3-0365-1206-8
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
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Authentication code dc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TB
Source bicssc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Deschrijver, Dirk
Relator code edt
9 (RLIN) 1605869
245 10 - TITLE STATEMENT
Title Improving Energy Efficiency through Data-Driven Modeling, Simulation and Optimization
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Basel, Switzerland
Name of publisher, distributor, etc MDPI - Multidisciplinary Digital Publishing Institute
Date of publication, distribution, etc 2021
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (201 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc In October 2014, the EU leaders agreed upon three key targets for the year 2030: a reduction by at least 40% in greenhouse gas emissions, savings of at least 27% for renewable energy, and improvements by at least 27% in energy efficiency. The increase in computational power combined with advanced modeling and simulation tools makes it possible to derive new technological solutions that can enhance the energy efficiency of systems and that can reduce the ecological footprint. This book compiles 10 novel research works from a Special Issue that was focused on data-driven approaches, machine learning, or artificial intelligence for the modeling, simulation, and optimization of energy systems.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
-- https://creativecommons.org/licenses/by/4.0/
-- cc
-- https://creativecommons.org/licenses/by/4.0/
546 ## - LANGUAGE NOTE
Language note English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Technology: general issues
Source of heading or term bicssc
9 (RLIN) 928609
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Uncontrolled term n/a
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Deschrijver, Dirk
Relator code oth
9 (RLIN) 1605869
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://mdpi.com/books/pdfview/book/3770">https://mdpi.com/books/pdfview/book/3770</a>
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Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/76345">https://directory.doabooks.org/handle/20.500.12854/76345</a>
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Public note DOAB: description of the publication
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