Nowcasting and short-term wind forecasting for wind energy management

Nowcasting and short-term wind forecasting for wind energy management

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The blooming an integration of these data sources would impulse and consolidate the use of energy nowcasting. As said, the development of nowcasting techniques based on big data or crowdsourcing, could benefit wind energy integration. But they also could represent an important tool for emerging configurations of power systems, as micro-grids and nano-grids. These grids range in a scale between one building to a small community of neighbours. The integration of wind energy in this context demands low-cost and easy-to-implement wind power forecasting products, and the developments in nowcasting could provide satisfactory solutions.

Chapter Contents:

  • 3.1 Wind forecasting in grid and market operations
  • 3.1.1 Uncertainty in wind energy production
  • 3.1.2 Effects of the wind forecasts uncertainty in the power system
  • 3.1.3 Wind uncertainty in market operations
  • 3.2 Wind power forecasting systems
  • 3.2.1 Wind control centres
  • 3.2.2 Description of wind power forecasting systems
  • 3.2.3 Wind power forecasting system results: representation and validation
  • 3.3 Physical approaches for wind forecasting
  • 3.3.1 Numerical weather prediction
  • Global models
  • Limited area models
  • Competitive ensemble forecasting
  • 3.3.2 Physical approaches focused on wind forecasting
  • 3.4 Statistical approaches for wind forecasting
  • 3.5 Enhancing predictions with nowcasting
  • References

Inspec keywords: wind power; distributed power generation; energy management systems; crowdsourcing; load forecasting

Other keywords: wind energy integration; wind power forecasting products; crowdsourcing; energy nowcasting; nanogrids; wind energy management; power systems; big data; microgrids; short-term wind forecasting

Subjects: Distributed power generation; Power system planning and layout; Wind power plants; Power system management, operation and economics

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