SubjectsSubjects(version: 945)
Course, academic year 2016/2017
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Game Theory in Smart Grids - NOPT057
Title: Teorie her pro inteligentní sítě
Guaranteed by: Department of Theoretical Computer Science and Mathematical Logic (32-KTIML)
Faculty: Faculty of Mathematics and Physics
Actual: from 2015 to 2020
Semester: summer
E-Credits: 3
Hours per week, examination: summer s.:0/2, C [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech, English
Teaching methods: full-time
Teaching methods: full-time
Guarantor: prof. RNDr. Martin Loebl, CSc.
RNDr. Jiří Fink, Ph.D.
Aim of the course -
Last update: RNDr. Martin Černý (23.01.2023)

In this course, we will study applications of Game Theory in Smart Grids. Student projects are offered during this course.

Literature -
Last update: RNDr. Jan Hric (10.05.2021)
  • K. Kok: The PowerMatcher: Smart Coordination for the Smart Electricity Grid, PhD thesis, Free University of Amsterdam. On-line
  • Robert J. Aumann, Sergiu Hart: Handbook of game theory with economic applications, volume 4, Elseview, 2015. On-line
  • Noam Nisan, Tim Roughgarden, Eva Tardos, Vijay V. Vazirani: Algorithmic game theory. Cambridge University Press Cambridge, 2007. On-line

Syllabus -
Last update: RNDr. Jiří Fink, Ph.D. (11.02.2021)
  • Introduction to smart grids and relations to the game theory.
  • Basic term of the game theory: game design, matrix games, Nash equilibria, market equilibria, cooperative vs competitive strategies, combinatorial auctions, Fisher and Arrow-Debreu models, Vickrey-Clark-Groves mechanism, social choice (depending of student knowledge).
  • Overview of the current applications of game theory in smart grids.
  • PowerMatcher and profile steering.
  • Article presentations.

Entry requirements - Czech
Last update: RNDr. Martin Černý (23.01.2023)

Znalost lineárního programování (například Optimalizaèní metody ) předmět je primárně určen pro studenty magisterských programů teoretická informatika, umělá inteligence a diskrétní modely a algoritmy, ale po předchozí konzultaci s vyučujícím může být vhodný i pro ostatní studenty MFF UK

Registration requirements -
Last update: RNDr. Martin Černý (23.01.2023)

If you are interested, write me e-mail to discuss the schedule.

Learning resources - Czech
Last update: RNDr. Martin Černý (23.01.2023)

Volitelný předmět je primárně určen pro studenty NMGr. oboru:

Diskrétní modely a algoritmy

Teoretická informatika

Umělá inteligence

 
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