The wind power forecasting model needs to plan for the unit commitments. There should also be planning for scheduling, for dispatch to system operations and more. It should work so as to ensure the use of electricity trader objectives for optimization energy production where possible, given any smaller time frame. Some of the wind power models that have been used and theoretically discussed at large are the WPMS, WPPT, Prediktor, ARMINES, Previento, WPFS Ver1.0, etc. Each of these forecasting models is seen to be associated with different ranges in wind power and they have their pros and cons as well. Some of them work better in forecasting based on the physical models, statistical models and some might require the use of hybrid models.
Wind is an inherently variable form of power source, and hence the use of a forecast system becomes critical. In the context of the short term forecasts, it is possible to predict for the wind energy up to one hour and 72 hours in advance (Nielson et al, 2007; Giebel, et al, 2003). This used to be more constrained in the past. However, in current times, this situation has improved a lot more. Unit commitments and dispatch for around the clock is still not possible in the context of wind power, but it is also possible to have some form of medium term forecasts such as 3 days to 7 days’ forecasts. Based on these medium term forecasts, short term forecasts are then made for around 72 hours to an hour in advance. However, even these forecast styles are often challenged because of how time has to be mapped in the models.