Ultra-short-term wind power prediction using BP neural network

摘要

As a newly renewable energy, wind power is one of the fastest growing and the most mature power generation technology. Based on the historical numerical weather prediction and corresponding wind power output data, an ultra short-term wind power prediction method for future four hours is presented and a prediction model based on BP neural network is established. Some experiments are performed. The results show that the prediction method is feasible and has important reference value for similar wind power prediction system.