Method for creating a power forecast of expected feed-in power of wind turbines to be fed into an electrical supply network whereby - at least one plant location model is used to create the power forecast, and - the plant location model simulates the behaviour of at least one of the wind turbines of a site, whereby - the plant location model, depending on at least one weather forecast, determines an output power of the wind turbine that can be expected to be fed-in and outputs it as an expected power, and - the plant location model takes into account - characteristics of the wind turbine and - characteristics of the site and wherein - for several wind turbines, in particular for a wind farm with several wind turbines, or for several wind farms - several plant location models (M1, M2, M3) are used, and combined in the creation device in order to provide an overall forecast for the several wind turbines or wind farms, and - each of the plant location models (M1, M2, M3) outputs an expected power ( P̂ 1, P̂ 2, P̂ 3), and - the expected power ( P̂ 1, P̂ 2, P̂ 3) of all plant location models (M1, M2, M3) can be added together to achieve an overall expected power ( P̂) for the several wind turbines, wherein - for the overall expected power ( P̂) an overall statistical accuracy estimate is made, and - the plant location models (M1, M2, M3) each perform individual accuracy estimates and the total accuracy estimate is calculated from the individual accuracy estimates. - at least one plant location model is used to create the power forecast, and - the plant location model simulates the behaviour of at least one of the wind turbines of a site, whereby - the plant location model, depending on at least one weather forecast, determines an output power of the wind turbine that can be expected to be fed-in and outputs it as an expected power, and - the plant location model takes into account - characteristics of the wind turbine and - characteristics of the site and wherein - the plant location model, depending on at least one weather forecast, determines an output power of the wind turbine that can be expected to be fed-in and outputs it as an expected power, and - the plant location model takes into account - characteristics of the wind turbine and - characteristics of the site and wherein - characteristics of the wind turbine and - characteristics of the site - for several wind turbines, in particular for a wind farm with several wind turbines, or for several wind farms - several plant location models (M1, M2, M3) are used, and combined in the creation device in order to provide an overall forecast for the several wind turbines or wind farms, and - each of the plant location models (M1, M2, M3) outputs an expected power ( P̂ 1, P̂ 2, P̂ 3), and - the expected power ( P̂ 1, P̂ 2, P̂ 3) of all plant location models (M1, M2, M3) can be added together to achieve an overall expected power ( P̂) for the several wind turbines, wherein - for the overall expected power ( P̂) an overall statistical accuracy estimate is made, and - the plant location models (M1, M2, M3) each perform individual accuracy estimates and the total accuracy estimate is calculated from the individual accuracy estimates. - several plant location models (M1, M2, M3) are used, and combined in the creation device in order to provide an overall forecast for the several wind turbines or wind farms, and - each of the plant location models (M1, M2, M3) outputs an expected power ( P̂ 1, P̂ 2, P̂ 3), and - the expected power ( P̂ 1, P̂ 2, P̂ 3) of all plant location models (M1, M2, M3) can be added together to achieve an overall expected power ( P̂) for the several wind turbines, wherein - for the overall expected power ( P̂) an overall statistical accuracy estimate is made, and - the plant location models (M1, M2, M3) each perform individual accuracy estimates and the total accuracy estimate is calculated from the individual accuracy estimates.