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BL40A2040 Enabling Energy Internet via Machine-type Communications, 4 cr 
Code BL40A2040  Validity 01.08.2018 -
Name Enabling Energy Internet via Machine-type Communications  Abbreviation Enabling Energy 
Credits4 cr   
TypeBasic studies  
  Grading scaleStudy modules 0-5,P/F 
  Eligibility for post-graduate studiesYes
    Allowed to study several timesno
Organisation LUT School of Energy Systems 

Pedro Juliano Nardelli 

Description by Study Guide
Note  Location: Lappeenranta, kokonaan verkossa / full digi 
Year  M.Sc. (Tech.) 1
Teaching Language  English 
Teacher(s) in Charge 

Pedro Nardelli, D.Sc. (Tech.), Assistant professor (tenure track)


After the course, the student will be able to: (1) define what is Energy Internet and how the technological advances in machine-type communications (MTC) are enabling its development, (2) model human- and machine-type of traffic, (3) differentiate operation modes of the Internet of Things (IoT), namely Ultra-reliable Low-latency Communications(URLLC) and massive Machine-type Communications (mMTC) in addition to the broadband communications, and (4) propose possible ways to manage the energy system based on packetized energy together with the required IoT/MTC solutions.


(1) Introduction to IoT-based systems, (2) Basics of machine-type communications, (3) Applications and modes of operation (mMTC, URLLC andbroadband), (4) Energy Internet: Packetized management of the energy system, (5) IoT-enabled energy internet via MTC: Examples, (6) Cloud-based services and system platform for energy internet via MTC, (7) Student presentations about different standards.

Teaching Methods 

Lectures 14 h (7 x 2h) and tutorials/student presentations (7 x 2h) 14 h. Weekly homework 14 h. Final work 24 h. Independent studies 38 h. Total workload 104 h.

Suitability for doctoral studies (Yes/Leave empty)  Yes 
Doctoral School course where enrollment is in WebOodi (Yes/Leave empty)  Yes 
Examination in Examination schedule (Yes/No)  No 
Examination in Moodle (Yes/No)  No 
Examination in Exam (Yes/No)  No 
Assessment scale and assessment methods 

Scale: 0-5,
Grade = Weekly assignments 30% + Presentation 30% + Final work 40%.

Course Materials 

Lecture notes and other material in Moodle.


Basic knowledge of signal processing, communications, networking and information theories is desirable. Recommended: Introduction to IoT-based systems, Wireless Communication Systems and Wireless Communication Networks.

Places for exchange-students? (Yes, number/No)  max 15 
Places for Open University Students?(Yes, number/No)  max 15 

Current and upcoming courses
Functions Name Type cr Teacher Timing
  Enabling Energy Internet via Machine-type Communications  COURSE  Pedro Juliano Nardelli 
02.03.20 -17.04.20 -

Upcoming exams
No exams