Forecast on Short-Term Wind Speed and Wind Farm Power Generation

Wind forecast is of great significance for operating a wind farm and power systems. The accurately predict wind speed can effectively reduce the adverse impact of wind farms on the power system, while increase the wind farm in the electricity market competitiveness. This paper studied time series and neural network forecasting for wind speed, and as a basis for proposed change right combination of multi-model prediction of wind speed forecasting. This method takes into account the characteristics of each individual prediction methods, different combinations of individual prediction methods to improve the prediction accuracy. Finally, wind power predicted by the results of comparative analysis found that for the prediction accuracy of wind speed is higher than the wind power prediction accuracy.