Nitsch, Felix and Schimeczek, Christoph and Frey, Ulrich J and Deissenroth, Marc and Fuchs, Benjamin (2020) FAME-Py. [Other]
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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/ | ||||||||||||||||||
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Document Type: | Other | ||||||||||||||||||
Title: | FAME-Py | ||||||||||||||||||
Authors: |
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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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