Prediction Method of Oilfield Photovoltaic Power Generation Based on Neural Network
Aiming at the problem of unstable output power of the power grid during the large-scale development of photovoltaic power generation in oil fields,a neural network-based method for predicting photovoltaic power generation in oil fields is proposed.Firstly,the photovoltaic power generation data is preprocessed by normalization and de-normalization.Secondly,a BP neural network prediction model with input layer,hidden layer,and output layer is constructed.Finally,the photovoltaic data weights at each time point are obtained based on the comparison sequence and reference sequence of the photovoltaic power generation data.Based on the weights,the data is extracted and substituted into the prediction model to achieve oilfield photovoltaic power generation prediction.The results show that the proposed method has high prediction accuracy.
neural networkphotovoltaic power generationoilfield photovoltaic
NETL
NSTL
万方数据
