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Data Science Essentials for the Energy Sector: The Case of Wind Energy

Data Science Essentials for the Energy Sector: The Case of Wind Energy

Master the essentials of data and leverage digitalisation to accelerate innovation in your organisation. 

 

 

We will announce the next run of this course in due course. If you are interested and would like to know when this course is open for enrolment, register your interest below.

The global energy transition is gathering momentum. Fuelling innovation in the renewables space is data science and digitisation – new technologies and techniques to extract valuable information from the energy sector and accelerate strategic decision-making. Leveraging these new opportunities means getting to grips with big data and mastering the methodologies to extract premium information. And realising the opportunities to minimise costs while optimising efficiency, values and outcomes.

This course has been designed to build your core competencies in this exciting new field. Led by EIT InnoEnergy, one of Europe’s leading authorities in sustainable energy and energy innovation, and delivered in partnership with Technical University of Denmark (DTU), this course gives you the understanding, the frameworks, techniques and the tools to:

  • Become a domain specialist in data analysis
  • Extract critical information from today’s complex energy sector data
  • Share that information to drive business-critical decision-making
  • Discuss and interpret results to foresee innovation products, services, or business processes
  • Drive innovation and competitive advantage at your wind energy organisation.

In mastering the essentials of data you will be able to leverage digitalisation and return to your organisation empowered to accelerate innovation for yourself or your employer.

What will you learn?

This expert-designed course empowers you with the knowledge, skills and tools to extract important information from energy sector data with a focus on wind. Specifically, you will:

  • Master basic data science skills including Artificial Intelligence with different types of Machine Learning techniques
  • Explore real-world case studies from different stages of the life cycle of wind energy power plants that will allow you to put your new competencies and knowledge to work
  • Analyse core challenges in using big data to accelerate your company’s competitive edge
  • Learn to articulate your company’s needs compellingly
  • Gain deep-rooted understanding of the technologies and techniques to empower effective communication flow with your big data specialists.

How will you learn?

This course offers an immersive learning experience that brings you together with peers from all over Europe across five expert-led days at DTU Risø Campus in Roskilde.

Together with your peers you will enjoy sessions with faculty from some of Europe’s foremost universities, and interaction with pioneering industry leaders, exploring the theory and seeing concept in action via real-life case studies drawn from the wind sector.

Who will teach you?

Anna Maria Sempreviva

Senior Scientist
Technical University of Denmark
(view profile)

Nikolay Dimitrov

Senior Scientist
Technical University of Denmark
(view profile)

Tuhfe Göçmen

Researcher
Technical University of Denmark
(view profile)

Juan Pablo Murcia Leon

Postdoc
Technical University of Denmark
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Andrea Vignaroli

Senior Development Engineer
Technical University of Denmark
(view profile)

Pierre-Elouan Réthoré

Senior Researcher
Technical University of Denmark
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Matti Koivisto

Researcher
Technical University of Denmark
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Laura Schröder

PhD Student
Technical University of Denmark
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Henrik Stiesdal

Wind Power Pioneer
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Ignacio Marti

Head of Division Materials, Components and Structures
Technical University of Denmark
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Pierre Pinson

Professor, Energy Analytics & Markets
Technical University of Denmark
(view profile)

Is it right for you?

This course is designed for future energy domain professionals, who wish to understand essential data science tools. Researchers and PhDs working in the same field will also benefit from this course.

Together with your peers, you will learn how to select the best data science tool for different analyses of multi-disciplinary and multi-dimensional data sets. You will also learn about the data lifecycle, which will enable you to produce and distribute datasets that can be used by others in the industry.

Why enrol today?

You emerge with a comprehensive understanding of the essentials of energy data, enriched with theoretical frameworks and real-life applications in industry.

And, upon successful completion of the course, you will receive a certificate with a LinkedIn integrated URL that verifies your achievement.

We will announce the next run of this course in due course. If you are interested and would like to know when this course is open for enrolment, register your interest below.

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