FAME-Py

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/

Document Type:

Other

Title:

FAME-Py

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Nitsch, Felix	felix.nitsch (at) dlr.de	https://orcid.org/0000-0002-9824-3371	UNSPECIFIED
Schimeczek, Christoph	christoph.schimeczek (at) dlr.de	https://orcid.org/0000-0002-0791-9365	UNSPECIFIED
Frey, Ulrich J	ulrich.frey (at) dlr.de	https://orcid.org/0000-0002-9803-1336	UNSPECIFIED
Deissenroth, Marc	Marc.Deissenroth (at) dlr.de	https://orcid.org/0000-0002-9103-418X	UNSPECIFIED
Fuchs, Benjamin	benjamin.fuchs (at) dlr.de	https://orcid.org/0000-0002-7820-851X	UNSPECIFIED

Date:

9 December 2020

Refereed publication:

Open Access:

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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