A system for producing electrical power based on wind energy is capable of predicting its power output. The system includes a set of wind turbine units, a first plurality of sensors each adapted to sense at least one wind characteristic at some of the wind turbine units, and a second plurality of sensors remotely located. At least one wind characteristic is estimated at the wind turbines not having one of the first plurality of sensors based on sensing by the first plurality of sensors and an estimate of changes in wind characteristic at wind turbine units caused by presence of other wind turbine units. The magnitude of electrical power production by the set of wind turbine units at at least one predefined point in time in the future is predicted based on the estimated wind characteristics and sensed wind characteristics.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A system for producing electrical power, comprising: a set of wind turbine units, each wind turbine unit of the set of wind turbine units being adapted to produce electrical power based on kinetic energy extracted from wind; a first plurality of sensors, each sensor of the first plurality of sensors being adapted to sense at least one wind characteristic at a respective wind turbine unit of a proper subset of the set of wind turbine units; a second plurality of sensors, each sensor of the second plurality of sensors being arranged at a distance with respect to each of the wind turbine units in the set of wind turbine units and being adapted to sense at least one wind characteristic at a location at which the sensor is arranged; and a processing unit, wherein the processing unit and first and second plurality of sensors are communicatively coupled such that the processing unit is able to receive sensed wind characteristics from each of the first and second plurality of sensors; the processing unit being adapted to estimate at least one wind characteristic at each wind turbine unit that is not included in the proper subset of the set of wind turbine units, based on: the sensed at least one wind characteristic at the respective wind turbine units of the proper subset of the set of wind turbine units; and an estimate of changes in wind characteristic at each wind turbine unit that is not included in the proper subset of the set of wind turbine units caused by presence of other wind turbine units of the set of wind turbine units; wherein each sensor of the first plurality of sensors is adapted to sense a plurality of successive values of the at least one wind characteristic at the respective wind turbine unit of the proper subset of the set of wind turbine units, and/or each sensor of the second plurality of sensors is adapted to sense a plurality of successive values of the at least one wind characteristic at the location at which the sensor is arranged; the processing unit being adapted to predict a magnitude of electrical power production by the set of wind turbine units at at least one predefined point in time in the future based on the estimated wind characteristics and a statistical measure of a plurality of values of sensed wind characteristics obtained during at least one time period. 2. The system according to claim 1, wherein each wind turbine unit of the set of wind turbine units is arranged at a distance from the other wind turbine units of the set of wind turbine units so as to form an assembly of wind turbine units, wherein the proper subset of the set of wind turbine units includes wind turbine units situated at a periphery of the wind turbine unit assembly. 3. The system according to claim 2, wherein the proper subset of the set of wind turbine units only includes wind turbine units situated at the periphery of the wind turbine unit assembly. 4. A system according to claim 1, further comprising: a storage unit adapted to store the estimated wind characteristics and/or sensed wind characteristics; wherein the processing unit is adapted to predict the magnitude of electrical power production by the set of wind turbine units at least at the predefined point in time in the future further on basis of stored estimated wind characteristics and/or sensed wind characteristics by means of a machine learning algorithm. 5. The system according to claim 1, further comprising: a reactive and/or active power compensation unit adapted to compensate output voltage supplied to a power grid to which the system is connected for reactive and/or active power consumption of the set of wind turbine units based on the predicted magnitude of electrical power production by the set of wind turbine units at least at the predefined point in time in the future. 6. The system according to claim 1, wherein the at least one wind characteristic comprises speed and/or direction of the wind and/or occurrence and/or level of turbulence. 7. A method of predicting a magnitude of electrical power production by a system comprising a set of wind turbine units, each wind turbine unit of the set of wind turbine units being adapted to produce electrical power based on kinetic energy extracted from wind, the method comprising: sensing at least one wind characteristic at respective wind turbine units of a proper subset of the set of wind turbine units; sensing at least one wind characteristic at a plurality of locations, each of the plurality of locations being at a distance with respect to each of the wind turbine units in the set of wind turbine units; wherein a plurality of successive values of the at least one wind characteristic at the respective wind turbine unit of the proper subset of the set of wind turbine units, and/or a plurality of successive values of the at least one wind characteristic at the respective wind turbine units of the plurality of locations, are sensed; based on the sensed at least one wind characteristic at the respective wind turbine units of the proper subset of the set of wind turbine units and an estimate of changes in wind characteristic at each wind turbine unit that is not included in the proper subset of the set of wind turbine units caused by presence of other wind turbine units of the set of wind turbine units, estimating at least one wind characteristic at each wind turbine unit that is not included in the proper subset of the set of wind turbine units; and predicting the magnitude of electrical power production by the set of wind turbine units at at least one predefined point in time in the future based on the estimated wind characteristics and a statistical measure of a plurality of values of sensed wind characteristics obtained during at least one time period. 8. The method according to claim 7, further comprising: storing the estimated wind characteristics and/or sensed wind characteristics; and predicting the magnitude of electrical power production by the set of wind turbine units at least at the predefined point in time in the future further on basis of stored estimated wind characteristics and/or sensed wind characteristics by means of a machine learning algorithm. 9. The method according to claim 7, further comprising: compensating output voltage supplied to a power grid to which the system is connected for reactive and/or active power consumption of the set of wind turbine units based on the predicted magnitude of electrical power production by the set of wind turbine units at least at the predefined point in time in the future. 10. A computer program product adapted to, when executed in a processor unit, perform a method of predicting a magnitude of electrical power production by a system comprising a set of wind turbine units, each wind turbine unit of the set of wind turbine units being adapted to produce electrical power based on kinetic energy extracted from wind, the method comprising: sensing at least one wind characteristic at respective wind turbine units of a proper subset of the set of wind turbine units; sensing at least one wind characteristic at a plurality of locations, each of the plurality of locations being at a distance with respect to each of the wind turbine units in the set of wind turbine units; wherein a plurality of successive values of the at least one wind characteristic at the respective wind turbine unit of the proper subset of the set of wind turbine units, and/or a plurality of successive values of the at least one wind characteristic at the respective wind turbine units of the plurality of locations, are sensed; based on the sensed at least one wind characteristic at the respective wind turbine units of the proper subset of the set of wind turbine units and an estimate of changes in wind characteristic at each wind turbine unit that is not included in the proper subset of the set of wind turbine units caused by presence of other wind turbine units of the set of wind turbine units, estimating at least one wind characteristic at each wind turbine unit that is not included in the proper subset of the set of wind turbine units; and predicting the magnitude of electrical power production by the set of wind turbine units at at least one predefined point in time in the future based on the estimated wind characteristics and a statistical measure of a plurality of values of sensed wind characteristics obtained during at least one time period. 11. A computer-readable storage medium on which there is stored a computer program product adapted to, when executed in a processor unit, perform a method of predicting a magnitude of electrical power production by a system comprising a set of wind turbine units, each wind turbine unit of the set of wind turbine units being adapted to produce electrical power based on kinetic energy extracted from wind, the method comprising: sensing at least one wind characteristic at respective wind turbine units of a proper subset of the set of wind turbine units; sensing at least one wind characteristic at a plurality of locations, each of the plurality of locations being at a distance with respect to each of the wind turbine units in the set of wind turbine units; wherein of successive values of the at least one wind characteristic the respective wind turbine unit of the proper subset of the set of wind turbine units, and/or a plurality of successive values of the at least one wind characteristic at the respective wind turbine units of the plurality of locations, are sensed; based on the sensed at least one wind characteristic at the respective wind turbine units of the proper subset of the set of wind turbine units and an estimate of changes in wind characteristic at each wind turbine unit that is not included in the proper subset of the set of wind turbine units caused by presence of other wind turbine units of the set of wind turbine units, estimating at least one wind characteristic at each wind turbine unit that is not included in the proper subset of the set of wind turbine units; and predicting the magnitude of electrical power production by the set of wind turbine units at at least one predefined point in time in the future based on the estimated wind characteristics and a statistical measure of a plurality of values of sensed wind characteristics obtained during at least one time period.