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2nd Annual Wind Power Big Data and IoT Forum

March 30 - March 31

What you’ll learn at the Forum:

  • Learn from industry peers’ multi-level data-mining approach for anomaly detection
  • Understanding the factors that influence operation of wind turbines and condition monitoring data quality in order to maximise the efficiency of maintenance decisions
  • Examine current limitations in fault prognosis and uncertainties in diagnosis
  • Discover how to accurately monitor the performance in wind parks in each turbine at anytime during their life time
  • Explore various options on how small differences in performance can be early detected, addressed actively and therefore risks for declining revenues minimised
  • Discuss handling multi-stream time series data in an integrated platform
  • Understand how to uses machine learning algorithms for turbine performance monitoring
  • Discover how machine learning techniques improve the yield of a wind turbine
  • Learn the value of combining spatial-temporal information from wind power time series to improve wind power forecast skill
  • Learn how to explore information from spatially distributed numerical weather predictions
  • Gain an understanding of how to optimize Wind Turbine Performance and reduce O&M costs through Big Data
  • Learn from the hands-on experience of industry-leaders on using data analytic tools to reduce component failures and operational costs
  • Benefit from the latest advancements in condition monitoring and predictive maintenance strategy
  • Understand how to apply the smart sensors technology to wind turbines
  • Learn how quantifying of the impact of various flow conditions on turbine performance can all for better detection of underperformance

The industry sectors participating include:

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


March 30
March 31
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