Uncertainty Set Prediction of Aggregated Wind Power Generation based on Bayesian LSTM and Spatio- Temporal Analysis
Published:
This article is a task of spatiotemporal Probabilistic Prediction for wind power. We using bayesian LSTM model by minimize the loss of KL-divergence and MSE loss, and
taking into account the geographical distribution of wind farms， we introduce spatial correction of models to improve the accuracy.