Topic: Implementation and Comparison of Modeling Approaches for Communication Systems in Energy System Scenarios

Topic: Implementation and Comparison of Modeling Approaches for Communication Systems in Energy System Scenarios

Personal details

Title Implementation and Comparison of Modeling Approaches for Communication Systems in Energy System Scenarios
Description
Background
In the context of the increasing digitalization of energy systems, efficient and reliable communication among participants is crucial.
In order to adequately capture the diversity and complexity of communication systems in such scenarios, a variety of modeling approaches can be used.
Objective
The objective of this thesis is the implementation and comparison of at least one (preferably several) modeling methods for communication systems in energy scenario contexts. Possible approaches include, but are not limited to, graph models, stochastic methods, and integrated, detailed communication simulations. The focus should be on evaluating the suitability of these methods for representing the dynamics and complexity of communication processes in energy systems.

The specific implementation of the task can be coordinated and defined with me according to your own interests.
Home institution Department of Computing Science
Associated institutions
Type of work practical / application-focused
Type of thesis Bachelor's or Master's degree
Author Malin Radtke, M. Sc.
Status available
Problem statement
  • Conduct a literature review of existing modeling approaches for communication systems in energy scenarios. An initial selection is already available here and may be used.
  • Select and implement at least one modeling method, ideally comparing various methods.An already implemented integration of a communication simulator in agent communication can also be used here for comparison (see www.cosima.offis.de).
  • Develop one or more example scenarios for applying and comparing the implemented methods.
  • Evaluate the methods in terms of their efficiency, accuracy, and applicability to realistic energy system scenarios.
  • Document the research findings and the developed models.
  • Depending on the type of thesis and interests, the exact scope and focus will change.
Requirement
Prior knowledge in the field of energy and/or communication systems is helpful, but not a prerequisite. 
Created 12/02/24

Study data

Departments
  • Energieinformatik
Degree programmes
  • Bachelor's Programme Business Informatics
  • Master's programme Digitalised Energy Systems
  • Master's Programme Computing Science
  • Bachelor's Programme Computing Science
  • Master's Programme Business Informatics
Assigned courses
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