The primary objective of the CHARGE course is to deepen participants' understanding of advanced data analysis techniques, specifically on Time Series Analysis and Network Science. Furthermore, CHARGE integrates ethical and sustainable considerations of data-driven decision-making in the energy sector. Through a combination of theoretical knowledge and practical application, participants will be equipped to tackle several aspects of the complex challenges associated with the energy transition.
By the end of the course, participants will be inspired with new concepts and know how to make the translation from theory to practical issues encountered in their work. With the long term goal of contributing to the development of innovative solutions within their organizations, driving the energy transition forward.
The course aims to provide participants with:
- Advanced Knowledge: In-depth lectures covering the latest developments and methodologies in Time Series Analysis and Network Science.
- Practical Skills: Hands-on experience through Alliander use case studies, enabling participants to apply theoretical concepts to real-world energy sector challenges.
- Ethical and sustainability awareness: A comprehensive understanding of the ethical implications of data science and AI, tailored to the energy sector, which fosters responsible and informed decision-making by reconsidering their earlier learnings through the lens of ethics and sustainability
In addition, the course offers you the opportunity to meet and exchange experiences with professionals who face similar challenges in the energy transition.
More information and register: https://www.ru.nl/en/radboud-academy/courses/three-day-course-charge
