Subseasonal-to-Seasonal Forecasting for Wind Turbine Maintenance Scheduling

Certain wind turbine maintenance tasks require specialist equipment, such as a large crane for heavy lift operations. Equipment hire often has lead time of several weeks but equipment use is restricted by future weather conditions through speed safety limits, necessitating an assessment conditions. This paper sets out methodology producing subseasonal-to-seasonal (up to 6 ahead) forecasts that are site- and task-specific. Forecasts shown improve on climatology at all sites, with fair skill six both variability window forecasts. For the case hire, cost-loss model identifies range electricity prices where hiring decision sensitive While there little difference in made proposed benchmark most prices, repair cost per reduced lower prices.