Power Prediction Contributes to the Precise Power Generation

Great Ability in Prediction
Ensure Precise Prediction of Generated Output of New Energy Plants

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.

Super Short-term Power PredictionPrecise prediction within the next 4 hours
Short-term Power PredictionPrecise prediction within the next 24 hours
Middle Long-term Power PredictionPrediction within the next 168 hours

Workflow of Prediction

Key Advantages

Reliable Data Sources

The multiple and integrated quality and reliable meteorological data sources at home and abroad enhance the precision of weather forecasts.

Data Mining

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.

Multi-dimensional Modeling

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.

Collective Prediction

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.

Optimal Value

Improve Efficiency and Profits of Power Plants

Help wind and photovoltaic power stations formulate production plans and optimize their operation to increase revenue and efficiency.

Promote Consumption Efficiency of New Energy

Improve power grids' capacity of consuming the electricity generated by wind/photovoltaic power stations in coordination with the scheduling system of the grids.

Promote Market-oriented Transaction of Electricity

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.