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FAME-Py

Nitsch, Felix and Schimeczek, Christoph and Frey, Ulrich J and Deissenroth, Marc and Fuchs, Benjamin (2020) FAME-Py. [Other]

Full text not available from this repository.

Official URL: https://gitlab.com/fame2/fame-py/-/releases/v1.1

Abstract

FAME-Py ist eine Sammlung an Python-Skripten, die benutzt werden um agentenbasierte Modelle auf Basis des Frameworks FAME zu verwenden. Eine ausführliche Beschreibung der Funktionalitäten ist Teil der Paketdokumentation.

Item URL in elib:https://elib.dlr.de/139498/
Document Type:Other
Title:FAME-Py
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Nitsch, Felixfelix.nitsch (at) dlr.dehttps://orcid.org/0000-0002-9824-3371
Schimeczek, Christophchristoph.schimeczek (at) dlr.dehttps://orcid.org/0000-0002-0791-9365
Frey, Ulrich Julrich.frey (at) dlr.dehttps://orcid.org/0000-0002-9803-1336
Deissenroth, MarcMarc.Deissenroth (at) dlr.dehttps://orcid.org/0000-0002-9103-418X
Fuchs, Benjaminbenjamin.fuchs (at) dlr.dehttps://orcid.org/0000-0002-7820-851X
Date:9 December 2020
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.5281/zenodo.4314338
Status:Published
Keywords:FAME; Python; Agent-based modelling
HGF - Research field:Energy
HGF - Program:Technology, Innovation and Society
HGF - Program Themes:Renewable Energy and Material Resources for Sustainable Futures - Integrating at Different Scales
DLR - Research area:Energy
DLR - Program:E SY - Energy Systems Analysis
DLR - Research theme (Project):E - Systems Analysis and Technology Assessment (old)
Location: Stuttgart
Institutes and Institutions:Institute of Engineering Thermodynamics > Energy Systems Analysis
Deposited By: Nitsch, Felix
Deposited On:11 Dec 2020 09:21
Last Modified:11 Dec 2020 09:21

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