Thesis Details

Detekce anomálií za běhu virtuální elektrárny

Bachelor's Thesis Student: Vymazal Jan Academic Year: 2021/2022 Supervisor: Zbořil František, doc. Ing., Ph.D.
English title
Virtual Power Plant Anomaly Detection
Language
Czech
Abstract

This bachelor thesis deals with the implementation of a multi-agent system for the detection and prediction of anomalies during the operation of a virtual power plant. The thesis also deals with the implementation of a simulation that puts this multi-agent system into an environment that reflects the gradual addition of data in the real world. It also deals with the principles of communication between agents in a multi-agent environment according to FIPA standards. As part of the work, I created the multi-agent system in the JADE framework in the Java programming language and a script in the Python programming language that implements the simulation.

Keywords

MAS, multi-agent systems, virtual power plant, anomaly detection in time series 

Department
Degree Programme
Files
Status
defended, grade C
Date
13 June 2022
Reviewer
Committee
Janoušek Vladimír, doc. Ing., Ph.D. (DITS FIT BUT), předseda
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Honzík Jan M., prof. Ing., CSc. (DIFS FIT BUT), člen
Mrázek Vojtěch, Ing., Ph.D. (DCSY FIT BUT), člen
Rozman Jaroslav, Ing., Ph.D. (DITS FIT BUT), člen
Citation
VYMAZAL, Jan. Detekce anomálií za běhu virtuální elektrárny. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-13. Supervised by Zbořil František. Available from: https://www.fit.vut.cz/study/thesis/24715/
BibTeX
@bachelorsthesis{FITBT24715,
    author = "Jan Vymazal",
    type = "Bachelor's thesis",
    title = "Detekce anom\'{a}li\'{i} za b\v{e}hu virtu\'{a}ln\'{i} elektr\'{a}rny",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/24715/"
}
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