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Sofia Antunes

Sofia Antunes

Havfram AS Havfram AS

VP Digitalisati... VP Digitalisation Offshore Wind
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Clym Stock-Williams

Clym Stock-Williams

Vattenfall Vattenfall

Head of Perform... Head of Performance Analysis and Improvements
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Thomas Burchhart

Thomas Burchhart

VERBUND VERBUND

Head of Technic... Head of Technical Department & Project Management Wind & PV
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Ursula Smolka

Ursula Smolka

Ramboll Ramboll

Head of Offshor... Head of Offshore Wind Asset Management
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Daniel Averbuch

Daniel Averbuch

IFP Energies nouvell... IFP Energies nouvelles

Innovation Prog... Innovation Program manager
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Amaury Neto

Amaury Neto

Voltalia Voltalia

Asset Managemen... Asset Management Director
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Denis Drga

Denis Drga

Siemens Gamesa Siemens Gamesa

Digital Product... Digital Product Manager
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Francesca Mariani Bjørnflaten

Francesca Mariani Bjørnflaten

Rystad Energy Rystad Energy

Renewable Energ... Renewable Energy Analyst
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Mihail Ivanov

Mihail Ivanov

ZF Wind Power Antwer... ZF Wind Power Antwerpen NV

Product Manager... Product Manager Digitalization
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Alexander Fraess-Ehrfeld

Alexander Fraess-Ehrfeld

AIRBORNE ROBOTICS AIRBORNE ROBOTICS

CEO CEO
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Simon Evans

Simon Evans

Arup Arup

Digital Energy... Digital Energy Leader
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Daniel Luecht

Daniel Luecht

NASH Renewables GmbH NASH Renewables GmbH

Founder & CEO Founder & CEO
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Brian Boye

Brian Boye

Semco Maritime Semco Maritime

Senior Manager... Senior Manager Telecom Systems
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Boaz Peled

Boaz Peled

First Airborne First Airborne

Co-founder and... Co-founder and CEO
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Anders Hvashøj

Anders Hvashøj

ZEVIT ZEVIT

CEO CEO
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Shawn Sheng

Shawn Sheng

National Renewable E... National Renewable Energy Laboratory (NREL)

Senior Research... Senior Research Engineer
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Rasmus Frederiksen

Rasmus Frederiksen

Siemens Gamesa Renew... Siemens Gamesa Renewable Energy A/S

Data Scientist Data Scientist
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Richard Distl

Richard Distl

i4SEE i4SEE

COO COO
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Patrick Strom

Patrick Strom

i4SEE i4SEE

Head of Product... Head of Product Success
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Peter Clive

Peter Clive

Black & Veatch Black & Veatch

Principal Wind... Principal Wind Energy Consultant
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Volker Berkhout

Volker Berkhout

Fraunhofer Institute... Fraunhofer Institute for Energy and Energy Efficiency (IEE)

Research Associ... Research Associate
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Konstanze Kölle

Konstanze Kölle

SINTEF Energy Resear... SINTEF Energy Research

Research Scient... Research Scientist
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Julia Nikolayenko

Julia Nikolayenko

Fluix Fluix

Executive Direc... Executive Director
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About The Event (#windataeu)

Digitalization refers to the application of digital technologies and data to transform business models and generate new value-producing opportunities. In the wind industry, advances in areas such as data science and the internet of things are set to disrupt the industry at every stage of the asset life cycle.

Hear from the industry experts as they come together to share their experience and knowledge as well as look at the future market opportunity of digital wind farm. Wind turbine manufacturers will share their views on technical requirements, standards and drivers for digitalization as well as investigate the latest wind turbine design & technology. Data analytics & cyber security will be discussed to bring an understanding on the importance of accurate data & security and how it plays an important part in the operational and developing phase as well as help predict components failure, reduce operational costs and risks.

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 windfarm 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 revenue.

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Event Details

About the event

As the wind energy sector continue to lower down the cost of operations and maintenance, digitalization and data analytics plays a vital role to achieve further cost reductions & increase revenue.  This conference aims to bring the wind industry together to discuss the market opportunity of digital wind farm, digital innovation and technological challenges for the industry, including how machine learning, digital twin and predictive analytics can enable monitoring and prediction failures to help drastically improve availability, reliability of the windfarm assets & increase revenue and reduce O&M costs.

Predictive analytics and digital twin modeling are sweeping across many industries, including the wind sector. Wind asset owners seek to improve power plant performance and manage and minimize operations and maintenance costs. Wind turbines are highly instrumented machines, lending themselves well to collecting vast amounts of data that can inform and refine digital twin models. 

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.

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Networking & Interaction

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990
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Networking & Interaction

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Sale ends on 08-03-2023

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Number of attendee : 1

Speaking slot: 30 Minute

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Number of attendee : 2

Speaking slot: 30 Minute

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3rd Edition Windpower Data and Digital Innovation Forum

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