Smart Energy Systems, part A

General knowledge in energy systems, mathematics, data science, and sustainability concepts

By the end of this course, students will be able to:
• Handle logic expressions and logical reasoning, especially in AI-driven energy systems
• Design and analyze smart energy systems by focusing on automation and digitalization
• Convert between number systems for energy data management
• Describe digital infrastructure, architecture, and smart applications

Additionally, the course enhances:
• Analytical and critical thinking for sustainable energy and smart systems
• Communication skills for presenting and reporting on renewable energy business models
• Digital skills for creating reports, completing exercises, and simulating circuits, with applications in energy data management and security

1. https://smart-networks-energy-transition.ec.europa.eu/system/files?file=2024-09/ETIP%20SNET_Brochure%202024.pdf(Öppnas i en ny flik)
2. https://smart-networks-energy-transition.ec.europa.eu/etip-snet-vision-2050(Öppnas i en ny flik)
3. https://www.etip-snet.eu/wp-content/uploads/2018/05/ETIP-SNET-Presentation-27-June.pdf(Öppnas i en ny flik)
4. https://smart-networks-energy-transition.ec.europa.eu/system/files/2022-06/MJ0122111ENN.en_.pdf(Öppnas i en ny flik)

5. Serdar Celik (2023)Sustainable Energy, Cambridge University Press,ISBN 978-1-316-51738-3 (9781316517383)
   

6. All other course material provided by the teachers.