The Wind Production Forecast from the Met Office is a site-specific forecast for use in wind energy production, helping you to accurately forecast future power output from wind farm assets.

This forecast uses our Unified Model in combination with surface data and unique high-resolution downscaling.

Our enhanced option, Wind Production Forecast Plus, uses site observations to further increase the accuracy of results.

Forecasts can be delivered up to four times a day, to a granularity of hourly intervals out to six days ahead. You can then feed the forecasts into your own modelling systems, enabling you to make accurate power predictions.

Our world-leading research means this flexible forecast accesses the most appropriate modelling capability for the relevant weather parameters and time periods.

A flexible solution

To fit to your own requirements, you define the hub height, timeframes, and select from the following weather parameters:

  • Wind speed
  • Wind direction
  • Pressure
  • Temperature
  • Air density
  • Maximum wind speed
  • Minimum wind speed
  • Relative humidity
  • Sensible heat flux

Business Benefits

With the latest forecast information delivered when you need it, the Wind Production Forecast helps a range of customers in the energy market make more informed decisions, including energy generators, traders and power prediction consultants.

A high level of accuracy means you can:

  • make accurate short-term assessments of power production;
  • make informed decisions for the short and medium-term on the best use of renewable or non-renewable generation across your portfolio;
  • reduce the risk of powering up from other energy sources when they are not needed;
  • reduce the risk of having to buy energy from elsewhere due to an under estimation of wind;
  • reduce exposure to penalty charges due to the over or under estimation of energy production

Grid operators can also access total wind production from the meaningul wind farm population within its network, resulting in a clearer picture of the power versus generation mix.