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Data Analytics for Energy Efficiency and Sustainability (Pilot)

Type of course:

Digital learning, Lesson

Language:

EN

Duration:

15 minutes

Proficiency:

Intermediate

Target:

Professionals, Workers, Students

This lesson focuses on using real-time data analytics to optimize energy usage in industrial settings, reducing waste, and improving sustainability through smart energy management systems. 

Get ready to:

  1. Learn how to use real-time data to improve energy efficiency: Explore ways to analyze live data for smarter energy use in industrial environments.
  2. Master smart energy systems: Gain hands-on experience with tools that minimize energy waste and support sustainable practices.
  3. Apply data insights to industrial energy management: Develop skills to interpret live energy data and make decisions that enhance efficiency and sustainability.

About The Author

FEUP, the Faculty of Engineering of the University of Porto, is part of the University of Porto (UPORTO). UPORTO’s origins date back to the 18th century and it is now one of the most prestigious higher education institutions in Europe. FEUP is UPORTO’s largest faculty, with around 9035 students, 932 teachers and researchers in 9 departments. FEUP is at the heart of Porto’s Innovation District and is the driving force behind the success of the University of Porto’s Science and Technology Park, UPTEC, the winner of the 2013 European Region Stars Award for Smart Growth.


Learning outcomes

  1. By the end of this lesson, students will be able to explain how real-time data analytics can be used to optimize energy usage in industrial settings.
  2. By the end of this lesson, students will be able to demonstrate the ability to use smart energy management systems to reduce waste and improve sustainability.
  3. By the end of this lesson, students will be able to interpret real-time energy data and apply it to enhance energy efficiency and sustainability in industrial operations.

Topics

Sustainable Energy and Clean Technologies, Digital Transformation, Sustainable Manufacturing, Data Analytics

Tags

Industry 5.0

Content created in 2024
+213 enrolled
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