Multi-Agent Energy Systems Simulation (Record no. 77068)

MARC details
000 -LEADER
fixed length control field 03996naaaa2200757uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/69278
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220220085305.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number books978-3-03943-650-7
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783039436491
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783039436507
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.3390/books978-3-03943-650-7
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 TBX
Source bicssc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Pinto, Tiago
Relationship edt
245 10 - TITLE STATEMENT
Title Multi-Agent Energy Systems Simulation
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 (190 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. The synergy between artificial intelligence and power and energy systems is providing promising solutions to deal with the increasing complexity of the energy sector. Multi-agent systems, in particular, are widely used to simulate complex problems in the power and energy domain as they enable modeling dynamic environments and studying the interactions between the involved players. Multi-agent systems are suitable for dealing not only with problems related to the upper levels of the system, such as the transmission grid and wholesale electricity markets, but also to address challenges associated with the management of distributed generation, renewables, large-scale integration of electric vehicles, and consumption flexibility. Agent-based approaches are also being increasingly used for control and to combine simulation and emulation by enabling modeling of the details of buildings’ electrical devices, microgrids, and smart grid components. This book discusses and highlights the latest advances and trends in multi-agent energy systems simulation. The addressed application topics include the design, modeling, and simulation of electricity markets operation, the management and scheduling of energy resources, the definition of dynamic energy tariffs for consumption and electrical vehicles charging, the large-scale integration of variable renewable energy sources, and mitigation of the associated power network issues.
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 History of engineering & technology
Source of heading or term bicssc
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Uncontrolled term EV charging
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Uncontrolled term multi-agent system
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Uncontrolled term digital twin
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Uncontrolled term customer satisfaction indicator
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Uncontrolled term smart microgrid
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Uncontrolled term energy management system
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Uncontrolled term real-time optimization
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Uncontrolled term immune system algorithm
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Uncontrolled term economic dispatch
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Uncontrolled term energy consumption
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Uncontrolled term wireless sensor network
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Uncontrolled term cooperation
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Uncontrolled term collaboration
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Uncontrolled term ontology
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Uncontrolled term energy sector
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Uncontrolled term scoping review
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Uncontrolled term decision-aid
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Uncontrolled term distributed energy resources
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Uncontrolled term distribution system operator
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Uncontrolled term reactive power management
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Uncontrolled term uncertainty
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Uncontrolled term day-ahead market
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Uncontrolled term balancing market
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Uncontrolled term bilateral trading
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Uncontrolled term market design
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Uncontrolled term variable renewable energy
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Uncontrolled term agent-based simulation
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Uncontrolled term MATREM system
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Uncontrolled term congestion management
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Uncontrolled term dynamic tariff
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Uncontrolled term agent-based distribution networks
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Uncontrolled term demand response
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Uncontrolled term routing protocols
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Uncontrolled term performance parameters
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Uncontrolled term Wireless Sensor Network (WSN)
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Soares, João
Relationship edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lezama, Fernando
Relationship edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pinto, Tiago
Relationship oth
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Soares, João
Relationship oth
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lezama, Fernando
Relationship oth
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://mdpi.com/books/pdfview/book/3067">https://mdpi.com/books/pdfview/book/3067</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/20.500.12854/69278">https://directory.doabooks.org/handle/20.500.12854/69278</a>
Access status 0
Public note DOAB: description of the publication

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