Prediction

Microgrid load power prediction method

In order to improve the response accuracy of the power system to load demand and photovoltaic output, this paper focuses on short-term forecasting and scheduling control, and constructs a CNN BiLSTM power load forecasting model based on VMD and a TCN BiLSTM ATT based photovoltaic. . In order to improve the response accuracy of the power system to load demand and photovoltaic output, this paper focuses on short-term forecasting and scheduling control, and constructs a CNN BiLSTM power load forecasting model based on VMD and a TCN BiLSTM ATT based photovoltaic. . Firstly, the introduction of the multi-variable uniform information coefficient (MV-UIC) is proposed for extracting the correlation between weather characteristics and the sequences of source and load power. As versatile distributed energy systems, microgrids necessitate adept management and dispatch of various loads -. . [PDF Version]