Carbon Flow Calculation Based on BILSTM-Attention Short-Term Load Forecasting

By integrating short-term load forecasting with carbon flow calculations, we first utilize the BILSTM-Attention short-term load forecasting model to obtain predicted load data for various nodes within the substation area, as well as predicted data for power generation from distributed generation equipment within the substation area. Subsequently, these data are input into the carbon flow calculation model to obtain the next day's carbon emissions data for the substation area. This process can provide essential guidance for power scheduling and user energy consumption within the substation area, ultimately aiding in the reduction of carbon emissions in the substation area.