Data Mining in Smart Grids (Record no. 75178)

MARC details
000 -LEADER
fixed length control field 03883naaaa2200637uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/69209
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220220081025.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number books978-3-03943-327-8
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783039433261
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783039433278
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.3390/books978-3-03943-327-8
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
072 #7 - SUBJECT CATEGORY CODE
Subject category code KNTX
Source bicssc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Vaccaro, Alfredo
Relationship edt
245 10 - TITLE STATEMENT
Title Data Mining in Smart Grids
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Basel, Switzerland
Name of publisher, distributor, etc. MDPI - Multidisciplinary Digital Publishing Institute
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (116 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. Effective smart grid operation requires rapid decisions in a data-rich, but information-limited, environment. In this context, grid sensor data-streaming cannot provide the system operators with the necessary information to act on in the time frames necessary to minimize the impact of the disturbances. Even if there are fast models that can convert the data into information, the smart grid operator must deal with the challenge of not having a full understanding of the context of the information, and, therefore, the information content cannot be used with any high degree of confidence. To address this issue, data mining has been recognized as the most promising enabling technology for improving decision-making processes, providing the right information at the right moment to the right decision-maker. This Special Issue is focused on emerging methodologies for data mining in smart grids. In this area, it addresses many relevant topics, ranging from methods for uncertainty management, to advanced dispatching. This Special Issue not only focuses on methodological breakthroughs and roadmaps in implementing the methodology, but also presents the much-needed sharing of the best practices. Topics include, but are not limited to, the following:  Fuzziness in smart grids computing  Emerging techniques for renewable energy forecasting  Robust and proactive solution of optimal smart grids operation  Fuzzy-based smart grids monitoring and control frameworks  Granular computing for uncertainty management in smart grids  Self-organizing and decentralized paradigms for information processing
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by/4.0/
Source of term 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 entry element Information technology industries
Source of heading or term bicssc
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Uncontrolled term voltage regulation
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Uncontrolled term smart grid
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Uncontrolled term decentralized control architecture
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Uncontrolled term multi-agent systems
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Uncontrolled term t-SNE algorithm
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Uncontrolled term numerical weather prediction
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Uncontrolled term data preprocessing
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Uncontrolled term data visualization
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Uncontrolled term wind power generation
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Uncontrolled term partial discharge
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Uncontrolled term gas insulated switchgear
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Uncontrolled term case-based reasoning
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Uncontrolled term data matching
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Uncontrolled term variational autoencoder
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Uncontrolled term DSHW
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Uncontrolled term TBATS
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Uncontrolled term NN-AR
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Uncontrolled term time-series clustering
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Uncontrolled term decentral smart grid control (DSGC)
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Uncontrolled term interpretable and accurate DSGC-stability prediction
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Uncontrolled term data mining
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Uncontrolled term computational intelligence
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Uncontrolled term fuzzy rule-based classifiers
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Uncontrolled term multi-objective evolutionary optimization
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Uncontrolled term power systems resilience
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Uncontrolled term dynamic Bayesian network
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Uncontrolled term Markov model
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Uncontrolled term probabilistic modeling
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Uncontrolled term resilience models
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Vaccaro, Alfredo
Relationship oth
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://mdpi.com/books/pdfview/book/2981">https://mdpi.com/books/pdfview/book/2981</a>
Access status 0
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/20.500.12854/69209">https://directory.doabooks.org/handle/20.500.12854/69209</a>
Access status 0
Public note DOAB: description of the publication

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