Modelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models

Complexity science aims to better understand the processes of both natural and man-made systems which are composed of many interacting entities at different scales. A disaggregated approach is proposed for simulating electricity systems, by using agent-based models coupled to continuous ones. The ap...

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Main Author: Kremers, Enrique Alberto
Format: Online
Language:English
Published: KIT Scientific Publishing 2021
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Online Access:35441
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author Kremers, Enrique Alberto
author_browse Kremers, Enrique Alberto
author_facet Kremers, Enrique Alberto
author_sort Kremers, Enrique Alberto
collection Directory of Open Access Books
description Complexity science aims to better understand the processes of both natural and man-made systems which are composed of many interacting entities at different scales. A disaggregated approach is proposed for simulating electricity systems, by using agent-based models coupled to continuous ones. The approach can help in acquiring a better understanding of the operation of the system itself, e.g. on emergent phenomena or scale effects; as well as in the improvement and design of future smart grids.
format Online
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institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
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spelling doab-20.500.12854ir-537422024-04-09T23:16:20Z Modelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models Kremers, Enrique Alberto T1-995 multi agent systems complexity smart grids emergence demand side management thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Complexity science aims to better understand the processes of both natural and man-made systems which are composed of many interacting entities at different scales. A disaggregated approach is proposed for simulating electricity systems, by using agent-based models coupled to continuous ones. The approach can help in acquiring a better understanding of the operation of the system itself, e.g. on emergent phenomena or scale effects; as well as in the improvement and design of future smart grids. 2021-02-11T19:58:22Z 2021-02-11T19:58:22Z 2019-07-30 20:02:01 2013 book 35441 9783866449466 https://directory.doabooks.org/handle/20.500.12854/53742 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.ksp.kit.edu/9783866449466 KIT Scientific Publishing 10.5445/KSP/1000031133 10.5445/KSP/1000031133 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783866449466 XIV, 181 p. open access
spellingShingle T1-995
multi agent systems
complexity
smart grids
emergence
demand side management
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Kremers, Enrique Alberto
Modelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models
title Modelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models
title_full Modelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models
title_fullStr Modelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models
title_full_unstemmed Modelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models
title_short Modelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models
title_sort modelling and simulation of electrical energy systems through a complex systems approach using agent based models
topic T1-995
multi agent systems
complexity
smart grids
emergence
demand side management
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
topic_facet T1-995
multi agent systems
complexity
smart grids
emergence
demand side management
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
url 35441
work_keys_str_mv AT kremersenriquealberto modellingandsimulationofelectricalenergysystemsthroughacomplexsystemsapproachusingagentbasedmodels