Development of a Grid Independent Energy System Using Energy Supply and Demand Prediction (Part 4) Multi-Step Solar Radiation Prediction Based on Deep Learning Model with Uncertainty Prediction

抄録

For optimizing complex renewable energy system and effectively management of building energy systems, such as solar PV, model predictive control (MPC) is widely applied as a solution. Long-distance solar radiation prediction is of great significance for the operation optimization of such building energy systems. This paper specially improves and designs the advanced deep learning model to meet the uncertainty prediction of long-distance solar radiation.