A method for predicting a day-ahead wind power of wind farms, comprising: constructing a raw data set based on a correlation between the to-be-predicted daily wind power, the numerical weather forecast meteorological feature and a historical daily wind power; obtaining a clustered data set and performing k-means clustering, obtaining a raw data set with cluster labels, and generating massive labeled scenes based on robust auxiliary classifier generative adversarial networks; determining the cluster label category of the to-be-predicted day based on the known historical daily wind power and numerical weather forecast meteorological feature, and screening out multiple scenes with high similarity to the to-be-predicted daily wind power based on the cluster label category; and obtaining the prediction results of the to-be-predicted daily wind power at a plurality of set times based on an average value, an upper limit value and a lower limit value of the to-be-predicted daily wind power.

A method for operating a wind turbine is provided. The wind turbine has a tower with external tower loads acting thereon and has an aerodynamic rotor with rotor blades having adjustable pitch angles, which rotor generates rotor thrust. The method comprises the following steps: determining a speed of a tower head of the tower and/or of a nacelle of the wind turbine, determining an absolute wind speed in the region of the wind turbine, determining a pure wind power on the rotor on the basis of the absolute wind speed, determining an apparent wind power on the rotor on the basis of the speed of the tower head and/or of the nacelle, determining an aerodynamic tower vibration power on the basis of a difference between the apparent wind power and the pure wind power, and performing feedback control of the wind turbine using the aerodynamic tower vibration power.

A method and apparatus for forecasting output power of wind turbine in a wind farm. The present invention provides a method for forecasting output power of a wind turbine in a wind farm, including: generating a corrected data set based on environmental data collected from at least one sensor in the wind farm; correcting a weather forecasting model by using the corrected data set; obtaining a forecast value of wind information at the wind turbine based on the corrected weather forecasting model; and forecasting the output power of the wind turbine based on the forecast value and a power forecasting model.

A method and apparatus for forecasting output power of wind turbine in a wind farm. The present invention provides a method for forecasting output power of a wind turbine in a wind farm, including: generating a corrected data set based on environmental data collected from at least one sensor in the wind farm; correcting a weather forecasting model by using the corrected data set; obtaining a forecast value of wind information at the wind turbine based on the corrected weather forecasting model; and forecasting the output power of the wind turbine based on the forecast value and a power forecasting model.

Provided are a method and an apparatus for icing prediction, and a method and an apparatus for generating an icing prediction model. The method for icing prediction includes: extracting a valid meteorological prediction data feature of a target wind turbine based on geographic information of the target wind turbine; inputting the valid meteorological prediction data feature into an icing prediction model for predict icing information; and outputting an icing prediction result by the icing prediction model in response to the input.

A method and an apparatus for controlling noise of multiple wind turbines. The method includes: determining a noise-influencing sector of each of the multiple wind turbines, based on positions of the multiple wind turbines and a position of a noise-influencing site; acquiring a current wind direction; determining whether there is at least one wind turbine of the multiple wind turbine under the current wind direction operating in the noise-influencing sector; and limiting output power of the at least one wind turbine, in a case that the determination is positive.

A mesoscale modeling system and method that enables meteorologists to adjust forecasts to account for known biases of weather forecasting models and outputs high-resolution images consistent with the adjusted forecasts. The mesoscale modeling system and method may also use a weather forecasting model to forecast future weather events based on one or more adjustments provided by the meteorologists.

A method for controlling an electricity distribution grid having a nominal grid voltage, in particular in a critical grid situation, wherein a grid control center is provided for controlling the electricity distribution grid and the electricity distribution grid has at least one control region that comprises a plurality of mutually geographically separate wind farms, comprising the steps of: querying power outputs available from the wind farms, in particular on the basis of a weather forecast; defining a control node within the control region, in particular on the basis of the queried available power out-puts, preferably performed by the grid operator; combining a number of wind farms at the calculated control node to form a wind power plant on the basis of the queried available power outputs and/or a probability distribution of the available power output; controlling the wind power plant, in particular through the grid control center, by way of a wind power plant control unit, such that a required voltage quality and/or frequency stability and/or uninterrupted availability is provided in the control region.

According to an embodiment, a method of controlling a temperature of a blade includes generating a first power production curve based on current weather conditions and generating a second power production curve based on future weather conditions. The method also includes, in response to determining that the second power production curve reduces a net power production loss of the blade more than the first power production curve, adjusting a heating cycle of the blade based on the second power production curve rather than the first power production curve.

A method for forecasting power production of at least one wind turbine, the wind turbine forming part of a wind farm arranged at a site. Global weather forecast data is received at a central data centre. A site specific forecast is then generated at the central data centre, based on the global weather forecast data. The site specific forecast from the central data centre is sent to a local data centre, e.g. arranged at the site of the wind farm. Site specific data is received at the local data centre and comprises site specific weather data and/or site specific wind turbine data measured at the site. The site specific forecast is then updated at the local data centre, using the site specific data. Finally, a power production forecast of the at least one wind turbine is generated based on the updated site specific forecast.