Digitalization of Intelligent and Integrated Energy Systems

Delft University of Technology via edX

Overview

This comprehensive course offered by Delft University of Technology on edX explores the digitalization of energy systems, focusing on the transformation of conventional grids to intelligent, integrated networks through advanced digital technologies. Participants will dive into the applications of AI, machine learning, blockchain, and computer simulations to modernize the grid. Despite the pivotal role of the power grid in technological advancement historically, its engineering has lagged behind modern standards, with persisting analogue systems, limited data acquisition, and manual control actions. The course underscores the urgency of digitalizing the energy system to maintain quality and efficiency amidst increasing renewable sources integration.

Highlighting an interactive approach, the program features insights from five industry leaders including Philip Gladek (CEO, Spectral), Bas Kruimer (Business Director, Digital Grid Operations at DNV), Martin Wevers (Grid Planner, TenneT), Evelyn Heylen (Head of Research, Centrica), and Antoine Marot (Lead AI Scientist, RTE), who will share perspectives, case studies, and applications in various sectors like Grid Operations, Electrical Systems, Cybersecurity, and Software Development. The coursework promises hands-on experience with solving an optimal scheduling problem, experimenting with numerical simulation methods, and employing machine learning for system overload prediction.

Targeted at professionals in the energy sector such as grid operators, electrical systems managers, software developers, and AI specialists, among others, this course also welcomes enthusiasts eager to learn about contemporary power grid practices, digital technologies, and deployment trends. It aims to equip attendees with the knowledge to intelligently integrate disparate energy systems, emphasizing the role of digital transformation in the energy sector’s future.

The endorsement from Bas Kruimer of DNV illustrates the course's pivotal role in addressing the challenges of modern energy systems and its contribution towards accelerating the energy transition. With a focus on AI, machine learning, digital twins, and cybersecurity, the program outlines strategies for the holistic integration of electric cars, heat, gas, and electricity, making it a highly recommended opportunity for those interested in the forefront of energy system digitalization.

Categories: Artificial Intelligence Courses, Machine Learning Courses, Digital Transformation Courses, Cybersecurity Courses, Blockchain Development Courses, Energy Systems Courses.