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Enabling energy internet via machine-type communications

Individual course

The course introduces the different definitions of Energy Internet and how the technological advances in machine-type communications (MTC) are enabling its development. A review of the state-of-the-art in both communication and power grid will be provided.

Course contents

  1. Introduction to IoT-based systems
  2. Basics of machine-type communications
  3. Applications and extreme modes of operation in 5G (massive MTC, ultra-reliable low-latency communications and broadband)
  4. Energy Internet: Packetised management of the energy system
  5. IoT-enabled energy internet via MTC: Examples
  6. Energy internet via MTC: Future perspectives.

Learning outcomes

After the course, the student will be able to

  1. define what energy internet is and how the technological advances in machine-type communications (MTC) are enabling its development.
  2. model human and machine type traffic.
  3. differentiate operation modes ofthe internet of things (IoT), namely ultra-reliable low-latency communications (URLLC) and massive machine-type communications (mMTC) in addition to the broadband communications.
  4. propose possible ways to manage the energy system based on packetised energy together with the required IoT/MTC solutions.

Course material

The course is an online course and the material is found on the course platform.

Completion methods

  • Seven weekly assignments: 50%
  • Final work: 50%  (20% plan + 80% final report)

More information in LUT University’s study guide.

You can get a digital badge after completing this course.

Responsible teacher

LUT University
Pedro Nardelli

Contact person for applications

FITech Network University
Fanny Qvickström, Student services specialist
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5G technology,
AI and machine learning,
Industrial internet,
Smart systems
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0 €
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Host university:
LUT University
Who can apply:
Adult learner,
Degree student
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General prerequisites:
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.
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