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.
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.
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
Who Should Attend
Areas of responsibility:
- Wind Performance
- Resource Analysis
- Wind Data Analysis
- Wind Diagnostics
- Turbine Reliability Analysis
- AI and ML
- Turbine Health
- SCADA Operations
- Operations Performance
- Monitoring Center
- Condition Monitoring
- Wind Farm Data Analysis
- Wind Performance Optimization
- R&D
- IoT
- Digitalization
Representatives Invited:
- Presidents
- Vice Presidents
- Directors
- Heads/Managers
- Engineers
- Group/Team leaders
Industry participating
- Wind Industry
- Energy companies
- Engineering companies
- Solution Providers
- R&D
