Blended for Maximum Flexibility and Impact

The Internet of Energy Bootcamp blends flexible, self-paced online modules with a dynamic, face-to-face project-based bootcamp in Lisbon. The learning process is continuous, immersive and expertly designed to deliver the critical skills and knowledge you need to lead digital innovation in your organisation. You will:

  • Learn to use AI and Big Data to retrieve critical network and consumer data using data analysis techniques.
  • Learn about privacy imperatives and cyber-security and how to handle complex energy-related data.
  • Learn how startups are building innovative business models that are disrupting the energy sector – and how this can apply to your business.

Course Content

Download the Event Guide The Internet of Energy Bootcamp follows a 3-Step Learning Sequence.

Step 1: Understanding the landscape

Discover how digitalization is transforming the energy industry today:

  • Why are digitally-savvy players gaining market share?
  • Why are prosumers choosing energy suppliers with the best technology?
  • Why are Distribution System Operators looking to Big Data to reduce network congestion?
Dates: July-August, 2018
Format: 1 open online course
Lead Institution: KTH Executive
Delivery: Expert video lectures, interviews with leaders from industry & academia, online case studies.
Estimated time needed to complete module: 3 hours.

Step 3: Bringing it all together

Meet your peers face-to-face at the Bootcamp in Lisbon. Working together you will put your new knowledge and skills to the test and build an energy business concept that can stand up to the hostile environment of today’s cyber-threats. With your peers you will explore:

  • How to use of hands-on techniques to extract intelligence from smart meter data using big data analysis.
  • How to use hands-on techniques to propose new B2B and B2C disruptive business models.
  • What are the cyber-security constraints and to what extent should they be taken into account?
  • Bootcamp ends with you pitching your ideas to an audience of industry futurists, experts, academics and investment advisors.
Dates: September 3 -7, 2018
Format: Hands-on, face-to-face Bootcamp at Técnico Lisboa
Delivery: Group work, project, final presentation to stakeholders.
Duration: 4 days

Step 2: Mastering the technology

Three on-line modules give you a deep dive into Big Data, cyber-security and innovative business models. This step is self-paced. You work through each module sequentially over the course of 6 weeks.

Module 1: Advanced Analytics on Big Data in Energy

Deciphering massive energy-related datasets using the latest digital tools to extract information:

  • How can intelligence be extracted from smart meter data using Big Data analysis?
  • How to use AI tools to cluster, extract, forecast and display the content of massive datasets.
  • How to create a strategy for implementing business models based on data analytics in an energy service company.
Dates: July-August 2018
Format: 1 special private online course
Delivery: Expert video lectures and PowerPoint presentations
Lead Institutions: AI Academy & WATT-IS
Estimated time needed to complete module: 3 hours.

Module 2: Applied Cyber-security training for Critical Energy Infrastructure

Getting to grips with privacy regulations and how to find cyber-security vulnerabilities in innovative energy concepts:

  • Learn about attack vectors and security-related human factors in energy systems.
  • Discover the cyber security legal framework and privacy concerns relevant to energy consumers.
  • Explore a range of relevant cyber-security counter-measures, including anonymisation of data.
Dates: July-August 2018
Format: 1 special private online course
Delivery: Expert video lectures and PowerPoint presentations
Lead Institution: Fraunhofer Academy
Estimated time needed to complete module: 3 hours.

Module 3: Business Modeling in the Energy Sector

Understanding how start-ups and innovators have disrupted the status quo in the energy business, and how to emulate their success:

  • Explore the drivers of change in the sector: digital and energy technology, prosumers and more.
  • Discover emerging business models from a service and legal perspective and the challenges they face, such as regulation.
  • Learn how to ideate and evaluate new business concepts.
Dates: July-August 2018
Format: 1 special private online course
Delivery: Expert video lectures
Lead institution: KTH Executive School
Estimated time needed to complete module: 3 hours.


“If I were starting out today and looking for an opportunity to make a big impact in the world, I would consider three fields. One is artificial intelligence (AI). We have only begun to tap into all the ways it will make people’s lives more productive and creative. The second is energy, because making it clean, affordable, and reliable will be essential for fighting poverty and climate change. The third is the biosciences, […]”.

Bill Gates

Step 3: Bringing it all together

Meet your peers face-to-face at the Bootcamp in Lisbon. Working together you will put your new knowledge and skills to the test and build an energy business concept that can stand up to the hostile environment of today’s cyber-threats. With your peers you will explore:

  • How to use of hands-on techniques to extract intelligence from smart meter data using big data analysis.
  • How to use hands-on techniques to propose new B2B and B2C disruptive business models.
  • What are the cyber-security constraints and to what extent should they be taken into account?
  • Bootcamp ends with you pitching your ideas to an audience of industry futurists, experts, academics and investment advisors.
Dates: September 3 -7, 2018
Format: Hands-on, face-to-face Bootcamp at Técnico Lisboa
Delivery: Group work, project, final presentation to stakeholders.
Duration: 4 days

Step 2: Mastering the technology

Three on-line modules give you a deep dive into Big Data, cyber-security and innovative business models. This step is self-paced. You work through each module sequentially over the course of 6 weeks.

Module 1: Advanced Analytics on Big Data in Energy

Deciphering massive energy-related datasets using the latest digital tools to extract information:

  • How can intelligence be extracted from smart meter data using Big Data analysis?
  • How to use AI tools to cluster, extract, forecast and display the content of massive datasets.
  • How to create a strategy for implementing business models based on data analytics in an energy service company.
Dates: July-August 2018
Format: 1 special private online course
Delivery: Expert video lectures and PowerPoint presentations
Lead Institutions: AI Academy & WATT-IS
Estimated time needed to complete module: 3 hours.

Module 2: Applied Cyber-security training for Critical Energy Infrastructure

Getting to grips with privacy regulations and how to find cyber-security vulnerabilities in innovative energy concepts:

  • Learn about attack vectors and security-related human factors in energy systems.
  • Discover the cyber security legal framework and privacy concerns relevant to energy consumers.
  • Explore a range of relevant cyber-security counter-measures, including anonymisation of data.
Dates: July-August 2018
Format: 1 special private online course
Delivery: Expert video lectures and PowerPoint presentations
Lead Institution: Fraunhofer Academy
Estimated time needed to complete module: 3 hours.

Module 3: Business Modeling in the Energy Sector

Understanding how start-ups and innovators have disrupted the status quo in the energy business, and how to emulate their success:

  • Explore the drivers of change in the sector: digital and energy technology, prosumers and more.
  • Discover emerging business models from a service and legal perspective and the challenges they face, such as regulation.
  • Learn how to ideate and evaluate new business concepts.
Dates: July-August 2018
Format: 1 special private online course
Delivery: Expert video lectures
Lead institution: KTH Executive School
Estimated time needed to complete module: 3 hours.


“If I were starting out today and looking for an opportunity to make a big impact in the world, I would consider three fields. One is artificial intelligence (AI). We have only begun to tap into all the ways it will make people’s lives more productive and creative. The second is energy, because making it clean, affordable, and reliable will be essential for fighting poverty and climate change. The third is the biosciences, […]”.

Bill Gates

Course Presenters

Claudia Antunes

PhD Universidade de Lisboa

Assistant Professor at the Instituto Superior Técnico – Universidade de Lisboa. An expert in data science, her research focuses on domain data and temporal data mining and has broad application from healthcare to education.

Jörg Lässig

PhD Chemnitz University of Technology

Full Professor of Computer Science at the University of Applied Sciences Zittau/Görlitz and IT Security lead at Fraunhofer. A prolific author, his research covers the IT security of critical infrastructures, energy and water infrastructures.

Martin Vendel


Martin Vendel has over 20 years of industrial experience from both large corporations, as well as a number of startups. Experience from a number of executive positions and boards, with a focus on strategy, marketing, business development and industry transformation. Martin is presently with KTH Royal Institute of Technology, Industrial Economics and Management, Stockholm, Sweden, teach at a number of European universities and has a global reach through a number of MOOCs. The teaching is presently mainly within Innovation & Entrepreneurship and part of EIT Digital.

Staffan Movin


Staffan Movin has a broad experience as a leader and consultant in business development, business transformation in various industries. Over fifteen years he worked strategically with realizing change in organizations, companies and enterprises with increased revenues, profits and better market positions as results. Author of several books on digital transformation, ecosystems, ICT and service development. Today he is Program director at KTH Executive School with focus on energy companies.

Nicolo Valigi


Nicolo Valigi is a Software Engineer and founder of AI Academy. He loves applications of Artificial Intelligence in Robotics, and has been working on building smarter drones and self-driving cars. His expertise is in Computer Vision, especially around localization, navigation, and 3D reconstruction. With AI Academy, he teaches and helps companies implement AI technologies.

Henrique Pombeiro

PhD MIT Portugal

Co-founder and COO of Watt-IS. Henrique’s distinguished academic career spans energy efficiency, machine learning and artificial intelligence. Watt-IS translates energy consumption data into tailored energy efficiency solutions.

Sebastian Mann

Dipl.-Math.

Expert in privacy enhancement technologies, cryptographic methods for media security and sensitive data with research group, Media Distribution and Security. He specialises in mathematical modelling for measuring the quality of privacy enhancement technologies.

Gianluca Mauro


Gianluca Mauro is the founder of the AI training and consulting company AI Academy. Gianluca has a balance of technical and business background (MSc in Energy Engineering, Fulbright BEST scholar in Silicon Valley), and his mission is to speed up the adoption of Artificial Intelligence in businesses. He has trained executives and technical teams of large companies in sectors ranging from the Pharma, Consumer Goods and Energy.

Niklas GUstafsson


Niklas Gustafsson is business developer and program manager at KTH Executive School with focus on designing and managing tailor-made in-company educational programs and advisory services energy companies. Niklas has a previous background as Senior Consultant at HUI Research working with business consulting, market analysis, trend analysis and strategic business development.

Daniel Gonçalves


Daniel Gonçalves is a researcher at the Visualization and Multimodal Interfaces Group of INESC-ID and Professor of Computer Science at Instituto Superior Técnico (IST/UL), the School of Engineering of the University of Lisboa, Portugal.
His research encompasses the areas of Information Visualization, Personal Information Management, Gamification and Accessibility. He has published over 160 peer-reviewed papers publications in those areas, as well as being the co-author of a textbook on Human-Computer Interaction. He managed INESC-ID’s participation in the national EDUCARE project, where information visualization techniques will be used in novel ways as a pedagogic aid, and EU AAL PAELife, striving to find new interaction techniques for the creation of a personal life assistant for the elderly.
He was one of the organizers and Technical Program Chair of IFIP INTERACT 2011 (September 2011) and of the ACM International Conference on Intelligent User Interfaces (February 2012). Since 2015 he is part of the Editorial Board of the Universal Access to the Information Society journal. He is a member of ACM and the Portuguese Computer Graphics Group (the national Eurographics chapter), of which he is a member of the board of directors.