The system based on the highly accurate numerical weather forecasting can predict the power output of one or more wind power plants and photovoltaic power stations within a certain period, for the purpose of reducing the volume of electricity for assessment and increase the efficiency of power generation.
The multiple and integrated quality and reliable meteorological data sources at home and abroad enhance the precision of weather forecasts.
Tap into the massive data of power plants by advantage of data mining technology to conduct relativity and error analysis, so as to ensure the accuracy of prediction.
Different types of modeling can be applied to make it more adaptable to different terrain, climate, time scale, and the different operating conditions of wind and photovoltaic power stations.
Based on the geographic condition and equipment states, it outputs the degree of variation of the multi-dimensional modeling prediction with the help of the models including neural network and linear fitting to eliminate extreme data and increase the accuracy of prediction.
Help wind and photovoltaic power stations formulate production plans and optimize their operation to increase revenue and efficiency.
Improve power grids' capacity of consuming the electricity generated by wind/photovoltaic power stations in coordination with the scheduling system of the grids.
Predict the capacity of power generation in a scientific way so as to avoid operational risks and economic losses due to inaccuracy of prediction in spot goods transaction of new energy power plants.