Smart Wind Turbine Forum

Date: 8th - 9th November 2017
Location: Berlin, Germany
 

The Forum will disclose practical insight for the Big Data management in order to improve Wind Power farms reliability, sustainability and overall performance. Attendees will gather to discuss the importance of the data-driven predictive maintenance and to develop optimized strategy for the Wind Farm performance.


MEETING SUMMARY

  • 2 days - round - table  discussions, case studies, networking & experience exchange
  • Expert speakers - industry leading companies, research centers, universities
  • Attendees - limited number high-level participation
  • Technical and business aspects in one format

 

KEY BENEFITS

Topics:

  • Learning the importance and advantages of Big Data and IoT usage in wind farm’ operation
  • Applying predictive maintenance approach to wind farm performance
  • Enhancing assets integrity and reliability
  • Getting an overview of the newest data analysis techniques

Outcome:

  • Minimizing costs and risk
  • Optimizing the technology & Improving the design
  • Maximizing productivity
  • Developing data-driven trends, based on statistics 
  • Gaining from O&M automatization

 

ATTENDEES

 Market Sectors:   

  • Wind Energy
  • Energy & Utilities
  • IT
  • Engineering
  • Operation and Maintenance
  • Technological solution providers

 Representatives Invited:      

  • Vice Presidents
  • Directors
  • Heads
  • Managers
  • Developers
  • Researchers
  • Engineers
  • Scientists

 Areas of responsibility:

  • Wind Energy
  • Wind farm sustainability
  • Technology, Innovation, Research & Development
  • Operation & Maintenance
  • Big Data application
  • Wind Performance
  • Wind Data Analytics
  • Meteorology
  • Wind Turbine Reliability & Performance Monitoring
  • Loads Engineering
  • Machine Learning
  • Data Science
  • SCADA Operations
  • Condition Monitoring
  • Wind Farm Data Analysis And Performance Optimization
  • Fleet Analysis 

Smart Wind Turbine Forum

Date: 8th - 9th November 2017
Location: Berlin, Germany