ICT Methods and Technologies for Energy Management, Transmission, and Control

Name (Acronym)

ICT Methods and Technologies for Energy Management, Transmission, and Control (ENETC)
ECTS

6
Contact E-mail

massimo.donelli@unitn.it
Teacher

DONELLI Massimo
Syllabus

ESSE3 Page
Institution

University of Trento
Study Program

M.S. Ingegneria Energetica [LM ENE]
Degree

Master
Language

English
Tracks

Artificial Intelligence, Energy Management

ABSTRACT

In the rapidly evolving landscape of modern energy systems, the effective management, transmission, and control of energy resources have become paramount for ensuring sustainability, efficiency, and reliability. The course offers a comprehensive exploration of the pivotal role that information and communication technologies (ICT) play in addressing the challenges and opportunities within the energy domain. This course delves into the integration of advanced ICT methodologies and technologies to optimize energy utilization, enhance transmission efficiency, and enable real-time control strategies. Students will gain a deep understanding of the theoretical foundations and practical applications of ICT solutions tailored to the energy sector. To complete the didactic offer, various numerical exercises (exploiting SW programs) will follow the theoretical lessons.

COURSE CONTENT

Part 1: ICT INTRODUCTION AND SMART GRID

Fundamentals of ICT for smart energy systems
Features and challenges to load flow in energy grids
Introduction to smart grid
Emerging ICT technologies for energy management, transmission, and control

Part 2: SMART GRID TECHNOLOGY

Energy measurement and monitoring technologies (e.g., smart meters and appliances)
Communication technologies in smart grids
Data collection and management in smart grids
Wireless energy transmission technology and systems

Part 3: PERFORMANCE ANALYSIS TOOLS FOR SMART GRID

Importance of performance analysis in smart grid design and operation
Key performance indicators (KPIs) for smart grid evaluation
Advanced analysis techniques: sensitivity analysis, machine learning and AI techniques for performance prediction
Real-time monitoring and control
Simulation and modeling tools

Part 4: COMPUTATIONAL TOOLS FOR SMART GRID DESIGN

Introduction to computational methods for smart grid
Optimization and machine-learning techniques
Game theory methods
Decision support systems

TEACHING ACTIVITIES

Theoretical Lessons
e-Xam Self Assessment (each teaching class or periodically)
MATLAB Hands-On
e-Xam Final Assessment

Course Information

Date:	24 February ‐ 6 June 2025 (Semester II)
Format:	The course is offered in blended form (onsite and online)

Registration Information

UniTN Students:	Free
EXTERNAL Students:	216 Eu: First course 180 Eu: Every course from the second one

The fees include the course teaching, the slides/material, and the video recordings (*).

Registration Procedure for UniTN Students

Please contact the Student Support Office of your Department/Centre/School to include the course in your study plan.

Registration Procedure for EXTERNAL Students

Step 1: Register a "guest" type account (@guest.unitn.it)

Should you still not have a UniTN account, you have to register and log in with your SPID identity or CIE (electronic ID card). If you cannot use SPID or CIE, please create your own UniTN account.

Step 2: Enroll to a Single UniTN Course

Complete the online application through the webpage apply for enrollment in ‘Standard’ single classes a.y. 2024/2025.
In the application form (Section "Teaching Activities") put the following information:
- Name of single class/teaching activity: ICT Methods and Technologies for Energy Management, Transmission, and Control
- Code of single class/teaching activity: 140707
- Degree course to which the teaching activity is associated: [0337H] Ingegneria Energetica
Once received the outcome of the application (1-3 days), login into ESSE3 with your "guest" account user-name and password. Then, pay the bulletin you find in Administrative Office – Payments.

NOTES:

A vademecum with a step-by-step guide to enroll to a single course at the University of Trento is available here
For any question on the registration process, please write to didattica@eledia.org

(*) Each registered participant acknowledges that the material distributed in the frame of the course, available for the duration of one academic year, is protected by copyright and delivered for educational purposes and personal use only. The participant agrees and undertakes not to forward, publish, disclose, distribute, disseminate - in any form or manner - such a material without written consent of the author(s) of the material. Unless otherwise explicitly allowed by the speaker in written form, no recordings of the online lectures can be made.