course CHARGE
course CHARGE

Three-day course CHARGE

CHARGE is an intensive 3-day course designed for data professionals working in the energy transition. This program is organized by Alliander and Radboud University.

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General

What are you going to learn?

The CHARGE program is a 3-day intensive course designed for data professionals working in the energy transition. Jointly organized by Alliander and Radboud University, this program equips participants with cutting-edge knowledge in Time Series Analysis and Network Science, while also addressing the ethical and sustainability challenges of data-driven decision-making. Through a combination of theoretical lectures and hands-on case studies, participants will develop the skills needed to drive innovation in the energy sector. With expert instructors and a focused learning environment, CHARGE provides an essential opportunity to deepen technical expertise and contribute meaningfully to the energy transition.

After the course:

This course will empower you to:

  • Deepen your technical expertise with the latest insights, techniques and tools in data science.
  • Tackle real-life case studies directly relevant to the energy sector.
  • Understand and address the ethical and societal implications of your work, making a broader impact.

In addition, the course offers you the opportunity to meet and exchange experiences with professionals who face similar challenges in the energy transition.

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Collaboration

This course was developed in collaboration with Alliander.

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Is this course right for you?

This course is designed for data professionals from energy sector organisations with a strong background in data science, AI and machine learning. It is ideal for those responsible for data-driven decision-making in the energy sector who are keen to deepen their technical skills while exploring the ethical dimensions of their work.

CHARGE entry requirements

To be eligible, you must meet the following background and expertise criteria:

  • You are working as a data professional in the energy sector, with demonstrable experience in data science, artificial intelligence or machine learning.
  • You are actively involved in data-driven decision-making and problem-solving within the energy transmission, distribution or infrastructure sector.

Starting date

06 November 2024, 9:30 am
Location
Radboud University Campus
City
Nijmegen
Costs
€1,980
Discount
Employees and (former) students of Radboud University and Radboudumc receive a 10% discount.
VAT-free
Yes
Including lunches, coffee and tea.
Educational method
On-site
Main Language
English
Sessions
06 November 2024, 9:30 am - 5 pm
13 November 2024, 9:30 am - 5 pm
20 November 2024, 9:30 am - 5 pm
Number of sessions
3

Factsheet

Type of education
Training
Result
Certificate, Edubadge
Organisation
Radboud Academy

Contact information

Do you have a question about this training? Please contact us.

Programme

 

The CHARGE program is structured over three full days, each focused on a key area essential to data science in the energy sector:

  • Day 1: Time Series Analysis 

Participants will explore the fundamentals of Time Series Analysis, learning how to forecast trends and optimize energy operations. This day will focus on predicting energy demand, managing renewable resources, and enhancing grid performance.

  • Day 2: Network Science 

Dive deep into the analysis of complex networks, including energy grids and communication systems. Learn how to model and interpret network behaviors, assess vulnerabilities, and apply optimization techniques for more efficient energy systems.

  • Day 3: Ethics and Sustainability in Data Science 

This final day covers the ethical dimensions of data science and AI in the energy sector. Discussions will focus on data privacy, algorithmic bias, and the societal impact of AI. The sustainability aspect will address the energy consumption of AI systems and explore ways to mitigate their environmental impact.

Each day includes expert-led lectures in the morning, followed by practical case studies in the afternoon, allowing participants to apply the concepts they’ve learned.

Lecturers

The CHARGE program is led by a team of distinguished lecturers from Radboud University:

• Yuliya Shapovalova is Assistant Professor of Data Science, specializing in Time Series Analysis. Yuliya has extensive experience in applying these techniques to real-world energy challenges in collaboration with industry partners, including Alliander.
• Lucia Cavallaro is Assistant Professor of Data Science, with a focus on Network Science. Her research includes the analysis of complex networks, applied to areas like energy systems and social networks.
• Luca Consoli is Associate Professor at the Institute for Science in Society. Luca’s expertise lies in the ethics of science and the societal impact of technological and scientific developments.
• Bernard van Gastel is Assistant Professor of Sustainable Digitalization, specializing in predicting the energy consumption of software and its societal impacts, including inclusion and privacy.

Additionally, professionals from Alliander and Radboud University will contribute to the program, enriching the practical sessions and ethical discussions with their real-world insights.

Costs

The cost of this course is € 1.980,00 including lunches, tea and coffee. Employees and alumni of Radboud University and Radboud university medical center receive a 10% discount. Click here to read more about discount and subsidy. 

Registration

You can register for this program by filling in the form below. Submitting the form will finalize your registration. You will receive an email confirming your registration in your inbox. If the program is full, you will be placed on a waiting list. There may be a charge if you wish to cancel. You can read more about this in our General Terms and Conditions.  

Between 7 and 14 days before the start of the program, you will receive an email containing information for the first session, and the invoice. To participate in the program, you are required to pay before the date on which it is due to commence. If you have not received anything 7 days before the start, please check your spam box and/or contact us. 

By registering, you will be sharing personal data with us. You can rest assured that we will handle your personal data with care and confidentiality. More information on this can be found in our privacy statement. 

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Admission Requirements

To be eligible for this course, you must meet the following background and expertise criteria:

  • You are a data professional in the energy sector, with demonstrable experience in data science, artificial intelligence or machine learning.
  • You are actively involved in data-driven decision-making and problem solving within the energy transmission, distribution or infrastructure sector.
I hereby declare that I meet the admission requirements.

Terms and Conditions

We would like to draw your attention to the terms and conditions of Radboud Academy. These state, among other things, that payment of the invoice must be made before the date on which the activity is due to commence, and that there may be charges if you cancel. 

Do you agree to the terms and conditions?