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Managing Energy Data: Advanced Analytics

Managing Energy Data: Advanced Analytics

How to use data science strategy to generate more value for your business


Managing Energy Data: Advanced Analytics

Duration: 6 weeks
Effort: 3 hours / week
150 €

The Internet of Things (IoT) revolution (eg. the vast spread of smart meters worldwide) is generating massive amounts of energy data, drastically transforming the sector and current energy systems. This digital transformation gives rise to more intelligent ways of managing energy and brings about opportunities for energy companies to improve their business models and services.  

During this course, you will find out how to extract insights from energy big data in order to boost your business and create value-added services. You will learn how to develop and implement data science projects in energy businesses and will work with real-life cases that require data science.

What will you learn?

Upon completion of this course, you will be able to:

  • Explain how data science can bring value to the energy sector (through big data from IoT solutions, end consumers etc).
  • Evaluate the implications, challenges and benefits of implementing data science projects in an energy company.
  • Apply lessons learned from real-life business cases in which data science was applied to energy big data.
  • Supervise the development and implementation of a data science project and create  new value with the available data.

How will you learn?

The course is designed in an interactive way so that you can immediately grasp and apply the new concepts. Teaching methods include:

  • Videos from recognised experts.
  • Self-evaluation exercises such as multiple-choice, associations or ‘fill in the blanks’.
  • Simple calculation exercises (e.g. in Microsoft Excel®) that will help you visualise the impact of various data science applications in generating value for an energy business.
  • Real-life experiences of InnoEnergy startups and interactive exercises that will help you understand how these companies are tackling their data-related challenges.
  • Relevant articles that will consolidate your acquired knowledge and back your decisions after the course.
  • A tutor with extensive experience to answer any questions you might have during the course.

Is it right for you?

The course is aimed at:

  • Senior operations personnel in energy utilities (distribution system operators, energy suppliers) and industry
  • Energy entrepreneurs looking to improve the value of their companies.

Who will teach you?

Henrique Pombeiro

Henrique is a co-founder and COO of Watt-IS and holds an MSc in Environmental Engineering and a PhD in Sustainable Energy Systems from MIT Portugal, EIT InnoEnergy and Fulbright programme. He has extensive experience in management, consumption behavior and data science (with a focus on modeling and optimisation), and has published several articles on related topics.

Miguel Carvalho

Miguel is a co-founder and CEO of Watt-IS and has extensive experience in the energy sector in both business development and data analytics. He has an ICT degree, an MSc in technology management and an executive MBA.

Carlos Silva

Carlos is a co-founder of WATT-IS and holds an MSc and a PhD in Mechanical Engineering from IST. He has published 30 papers on systems modeling and operations research in international peer-reviewed journals and has spoken at 80 international conferences.

Managing energy data: Advanced analytics

Duration: 6 weeks
Effort: 3 hours / week

Who are the collaborators?