Speakers

George Garforth

NarrativeWave

Client Engineer
Show Bio

Hanno Blankenstein

Unleash live

CEO
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Patrick Strom

i4SEE TECH GmbH

Head of Product Success
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Chris Kalima

Intertrust

VP Product Management
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Ana Kosareva

Enercon GmbH

Data Analyst / Project Manager
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Dylan Mitchell

Akselos S.A

Sales Account Director - Wind and New Energy
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Jonathan Masci

NNAISENSE

Co-Founder and Chief Scientist for Deep Learning
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Casey R. Martinez

EDP Renewables

Performance Analysis Manager
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Marco Busellato

Enel Green Power

Head of Global O&M Wind Predictive Maintenance
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Raul Manzanas Ochagavia

Nordex Group

International Division, Service Director
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Phillip Elflein

Energiekontor AG

Asset Manager Renewables
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Alec Miller

NarrativeWave

Vice President of Product
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Boaz Peled

First Airborne

Co-founder and CEO
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Giuseppe Felice

Resco.net

Business Development Manager
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Alejandro Cabrera

Green Eagle Solutions SL

CEO
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Vinay Gupta

Suzlon Global Services Limited

Head Data Analytics & Business Excellence
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Antonio González Huerta

RWE Renewables Iberia S.A.U

Control Room Leader
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Annette S. K. Andersen

bp Wind Energy

Engineering Director
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Felix Bübl

ENERTRAG AG

Head of Software Development
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João Formiga

EDP

Electrical Engineer
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Marc-Alexander Lutz

Fraunhofer IEE

Associate Researcher
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Scott Evans

GE Research

Principal Scientist Machine Learning
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James Morris

University College London

Lecturer l Engineering Mathematics
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Jay Jayakumar

TNO

Wind Energy Consultant Scientist
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Gloria Kalyesubula Kakimpa

Uniper Technologies Limited

Tech Lead – Wind Farm Health Monitoring
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Christopher Gray

i4SEE TECH GmbH

CEO
Show Bio

Malcolm Heath

DNV GL

WindGEMINI Business Development Manager
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Iain Dinwoodie

Natural Power

Head of Advanced Performance Engineering
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Nikolay Dimitrov

DTU Wind Energy

Senior Researcher
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Peter Clive

Black & Veatch

Principal Wind Energy Consultant
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Richard Distl

ImWind Erneuerbare Energie

Managing Director
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Kentaro Indo

Eurus Energy Holdings

General Manager of Operation Analysis and Asset Optimization
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Jan Schmitt

STEAG Energy Services GmbH

Global Sales Manager WINDcenter
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Jim Kiles

VayuAI Corp

CEO
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Tom Sulzer

Sulzer Schmid

CEO and Co-founder
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Joris Peeters

ZF Wind Power

Head of Digitalization
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Mercedes Irujo

Acciona

Head of Wind Energy Innovations
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Thomas Humphries

Cognitive Business Ltd

Director of Technology & Co-Founder
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Kristian Holm

Equinor ASA

Manager, Wind Turbine Technology
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Ursula Smolka

Ramboll

Lead Consultant
Show Bio

Moritz von Plate

Hitachi ABB Power Grids

VP Business Development
Show Bio

Diego Galar Pascual

Tecnalia Research & Innovation

Head Of Maintenance & Reliability
Show Bio

About Event

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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70+

Attendees

5+

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Event Details

About the forum

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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