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Systems","sub_category":"Energy System Modeling Frameworks","monthly_downloads":0,"total_dependent_repos":3,"total_dependent_packages":0,"readme":"\u003c!-- SPDX-FileCopyrightText: 2020-2024 German Aerospace Center \u003cfame@dlr.de\u003e\n\nSPDX-License-Identifier: Apache-2.0 --\u003e\n# FAME-Core\nFAME's core library written in Java. \nMinimum required JDK version is 11.\n\n## What is FAME?\nFAME is an open **F**ramework for distributed **A**gent-based **M**odels of **E**nergy systems.\nIts purpose is to support the rapid development and fast execution of complex agent-based energy system simulations.\nAll components of FAME are open source.\nThese components are:\n- **FAME-Core**: A Java library that provides classes and methods to create and run your own agent-based simulations in single-core or multi-core mode.\n- **FAME-Io**: A set of Python tools that enable you to feed input data to your simulations and to extract simulation results in a convenient way.\n- **FAME-Gui**: A graphical user interface for convenient configuration of FAME-based models.\n- **FAME-Protobuf**: Basic definitions for input and output formats of FAME-Core.\n- **FAME-Demo**: A simplistic FAME-based simulation demonstrating the most important features of FAME and their application in energy systems analysis.\n- **FAME-Mpi**: Components for parallelisation of FAME-Core applications.\n\nPlease visit the [FAME-Wiki](https://gitlab.com/fame-framework/wiki/-/wikis/home) to access detailed manuals and explanations of these FAME-components.\n\n## Statement of need\nFAME is a general framework intended for, but not exclusive to, energy systems analysis.\nIt facilitates the development of complex agent-based simulations.\nFAME enables parallel execution of simulations without any prior knowledge about parallelisation techniques.\nModels built with FAME can be executed on computer systems of any capacity – from your laptop to high-performance computing clusters.\nFurthermore, FAME applications are binary data files that are portable across Windows and Linux systems.\nFAME's highly adaptable contracting system offers broad configuration options to control simulations without changing its code.\n\nFAME-Core has been thoroughly tested to fulfil the demand of scientific rigor and to provide a stable and reliable simulation framework.\nIt provides thoroughly tested functionality common to all simulations (e.g. input, output, scheduling, communication), resulting in\n\n1. less code \u0026rarr; less errors \u0026rarr; less maintenance, \n2. higher transparency of existing models due to common interfaces and concepts of the respective framework, and \n3. a lower threshold for developing new models by providing a well-defined starting point.\n\n## Installation instructions\nFAME-Core can be installed easily by using [Apache Maven](https://maven.apache.org/).\nIn your Java project, just add the FAME-Core dependency to your `pom.xml`:\n\n```\n\u003cdependency\u003e\n    \u003cgroupId\u003ede.dlr.gitlab.fame\u003c/groupId\u003e\n    \u003cartifactId\u003ecore\u003c/artifactId\u003e\n    \u003cversion\u003e2.0.0\u003c/version\u003e\n\u003c/dependency\u003e\n```\n\nPlease see [Maven-central](https://mvnrepository.com/artifact/de.dlr.gitlab.fame/core) for the latest version.\nHave a look at the [Getting Started](https://gitlab.com/fame-framework/wiki/-/wikis/GetStarted/Getting-started) section in the Wiki to understand how to set up a model using FAME-Core.  \n\n## Available Support\nThis is a purely scientific project, hence there will be no paid technical support.\nLimited support is available, e.g. to enhance FAME, fix bugs, etc. \nTo report bugs or pose enhancement requests, please file issues following the provided templates (see also [CONTRIBUTING.md](CONTRIBUTING.md))\nFor substantial enhancements, contact us via [fame@dlr.de](mailto:fame@dlr.de) for working together on the code in joint projects or towards collaborative publications.\n\n## Citing 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