Windpower Data and Digital Innovation Forum 2026

May 26-27, 2026 - Amsterdam, Netherlands

Windpower Data and Digital Innovation Forum is set to cover all aspects of data analytics & digital innovation and its impact on the wind energy sector as well as identifying issues and challenges and providing potential solutions. It’s a great opportunity for industry professionals to come together to exchange the ideas, explore new thinking and help shape the development of the industry. The sessions are set up to be interactive for the attendees to get involved in the experience-sharing process and to tackle existing problems in real-time discussions.

The Windpower Data and Digital Innovation Forum will critically analyze wind energy sector digitalization and data-driven operations, performance forecasting and new business models, windpower assets optimization with artificial intelligence (AI) and automation, data-driven monitoring and inspection, predictive maintenance, and using advanced analytics to reduce costs and drive performance. 

The Windpower Data and Digital Innovation Forum aims to bring together industry leaders and experts to exchange and share their experiences on all aspects of  Digital Innovation, Big Data and Artificial Intelligence. It also provides a unique interdisciplinary platform for researchers, scientists and thought leaders to present and discuss the most recent innovations, trends, technology and application as well as practical challenges encountered and solutions adopted in the fields of Big Data, Machine Learning and Artificial Intelligence.

Do not miss the opportunity to join the Windpower Data and Digital Innovation Forum where we will be discussing digital twin technology with AI, how digitalization can help to increase the efficiency in wind turbine operation, using data analytics tools to reduce wind turbine failures and operational costs, the potential of technology to enhance windfarm cyber security in the age of digitalization. We will have a deep look into how digitalization can help asset owners and wind turbine OEMs operating wind turbines to predict and plan for faults and optimize performance of their assets.

Attendees will gather to discuss the importance of data-driven predictive maintenance and develop an optimized strategy for their wind farm performance. Advanced data analytics and Integrated Big Data platforms based on IoT develop analytical opportunities for planning and forecasting, revealing the bright future for the wind industry.

Join us to discuss and brainstorm on how digitalisation is sharpening the wind industry and shaping the industrial innovations of tomorrow,  how to build effective strategies for a data-driven maintenance, understand how predictive maintenance can improve wind energy asset efficiency, explore how to leverage digital innovation to optimize performance, examine how to use data analytics and artificial intelligence to optimize O&M & asset management processes and learn how to harness the power of wind data analytics to uncover performance losses, reduce maintenance and increase productivity.

Highlights

  • 30+ Speakers
  • 100+ Attendees
  • 10+ Sponsors

Key Topics & Discussions

  • Wind Power Analysis and Asset Management Digitalisation Journey
  • Wind Industry Towards IoT and AI
  • Portfolio Risk Reduction and Flexible Maintenance Concepts Powered by Data Analytics
  • Using Data Analysis to Protect Assets Valuation and Performance Enhancement
  • Artificial Intelligence or How to Transform Data into Knowledge
  • Open Source Projects: Creating the Foundation for an Open Digital Future
  • Data Driven Asset Performance Management

Our Speakers Include

  • Charlie Plumley – Principal Digitalisation and Performance Engineer, Nuveen Infrastructure
  • Okan Sargin – Senior Specialist | Engineer, Orangewind
  • Pete Andrews – Director, EchoBolt
  • Eva Moran Fernandez – Principal Systems Analyst, Natural Power
  • João Santos – Head of Innovation, AI, Data and Analytics, Nadara
  • Clément Jacquet – Senior Researcher – Wind Farm Optimization, EPRI

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Venue

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Event details
Organizer :Leadvent
Event type :Conference
Attendance :Physical & Online Event
Reference :ASDE-25912