AI and Digitalization as Enablers of the Clean Energy Transition

Faced with climate change, the Clean Energy Transition (CET) is not just an option, it's an imperative.

The CET relies on technologies such as renewables, energy efficiency, and electrification, with emerging contributions from hydrogen and carbon capture. These areas have seen significant advances due to matured energy processing systems, including power electronics, energy storage and power-to-X transformation technologies, among others, and digital systems comprising IoT, smart-metering, communications, computational intelligence and cloud computing, among others, complemented by progress in materials and manufacturing.

In this Lecture Series, we will explore the pioneering technologies that will transform our carbon-dependent society to a carbon-neutral one. We will advance in understanding energy efficiency, renewable energy, electrification, digitalization, and beyond. Together, we will navigate the challenging landscape of the future of energy - digitalized, decentralized, and decarbonized.

Join us on this journey towards energy transition, catalyzing a greener, cleaner, and more sustainable future.

Agenda

CONTENTS

  • Introduction to the Clean Energy Transition: Challenges and Opportunities
  • The Role of AI in Integrating Renewable Energy Sources
  • Machine Learning Algorithms for Grid Modelling and Stability
  • Safe Deep Reinforcement Learning for Grid Optimization and Security

Start Date
End Date
location city
Esch-Belval
location postalcode
L-4362
location country
LU

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