Intelligent Optimization Methods for Energy Systems

İstanbul Teknik Üniversitesi
LEVEL
Master
TYPE
Course
MODES
-
LANGUAGE
-
ECTS
75
PERIOD
12/09/2022 to 30/12/2022

Course Description

Course Description: Simulated Annealing Method, Tabu Search Method, Genetic Algorithms, Differential Evolution Method, Partical Swarm Optimization, Harmoni Search Method, Ant Colony Optimization, Artificial Bee Colony Optimization, Gravitational Search Algorithm, Electrical Transmission Systems Applications, Electrical Distribution System Applications, Smart Grid Applications. Course Objectives: 1. Learning intelligent methods and their principles. 2. Learning advantages/disadvantages of intelligent methods to numerical methods. 3. Learning the design of intelligent methods. 4. Learning how to model problems in real world areas such as electrical power systems, electrical distribution systems and smart grids, solving them.

Subject area

Environment City Climate

Educational-info

Day of the weeks

42 h - 14 weeks

ECTS

75

Organizer

Partner

İstanbul Teknik Üniversitesi

Faculty

Graduate School

Department

Applied Informatics

Contact or registration links