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Smart Systems - 5EU9SSY1

  • Number of hours

    • Lectures 20.0
    • Projects -
    • Tutorials -
    • Internship -
    • Laboratory works 44.0

    ECTS

    ECTS 5.0

Goal(s)

Students will be able to:

  • explain the new challenges posed by renewable energies, electric vehicles and energy storage for traditional power grids.
  • identify the economic and reliability requirements that power grids must meet as part of a sustainable energy transition.
  • describe the technologies and methods associated with Smart Grids and Smart Cities.
  • analyze the contribution of intelligent systems to the control, optimization and supervision of modern power grids.

More specifically, he/she will be able to :

  • explain the fundamental principles of machine learning and their application to energy systems
  • implement and evaluate machine learning algorithms in a Smart Grid or Smart City context
  • explain the key concepts related to Big Data and their importance in Smart Grid management
  • exploit massive datasets to extract useful information for supervision or decision-making in Smart Grids
  • describe how a SCADA system works and its role in power grid supervision.
  • design or interpret SCADA architectures adapted to Smart Grid requirements
  • identify and integrate home automation solutions within the framework of an intelligent building
  • design energy management scenarios on a housing scale using home automation equipment

Responsible(s)

Benoit DELINCHANT

Content(s)

This unit (20hCM + 40hBE) consists of 4 modules:
• Machine learning (4h CM + 16h BE), 2 eval BE
• Big Data (8h CM + 4h BE), eval DS + eval BE
• Electrical grid supervision / SCADA (8h CM + 4h BE), eval DS + eval BE
• Home Automation (16h BE), eval BE

Prerequisites

basic of data science, python programming and electrical engineering

Test

Session normale / 1st session
Evaluation rattrapable (ER) / ER assessment: examen écrit de 2h / 2 hours of written exam on SCADA and Big Data courses

Session de rattrapage / 2nd session
La note obtenue remplace la note de ER. Le contrôle continu n'est pas rattrapable./ Another written exam will replace the first one (ER). No retake for EN.

Session 1 : ET 50 % + CC 50%
Session 2 : ET 50 % + CC 50%(report de S1)

The exam is given in english only FR

Calendar

The course exists in the following branches:

see the course schedule for 2025-2026

Additional Information

Course ID : 5EU9SSY1
Course language(s): FR

You can find this course among all other courses.

French State controlled diploma conferring a Master's degree

diplôme conférant grade de master contrôlé par l'Etat