Electricity Generation Potential Forecast of Beijing Municipal Solid Waste Separation Rate Based on GRA-BiLSTM Model

China MSW (Municipal solid waste) is being transformed from a strictly environmental problem to a renewable resource. Effective treatment of future MSW requires reliable forecasts of MSW generation, separation rates, incineration costs, and power generation, which are becoming more and more important. This study takes Beijing as the research object, establishes a combined model based on GRA(Grey relation analysis) and Bidirectional Long Short Term Memory, selects 10 influencing factors affecting municipal solid waste in Beijing as input indicators, realizes effective prediction of municipal solid waste generation, calculates electricity generation efficiency, cost and electricity generation according to different MSW source separation rate, and screens out the optimal MSW source separation rate. Firstly, GRA was used to select the influencing factors of MSW. Secondly, the screened indicators are used as input indicators for the model BILSTM (Bidirectional Long Short Term Memory) to forecast the amount of Beijing Municipal solid waste generation in 2035. The results show that the MAPE value of the established combined GRA-BILSTM model is 4.956, and the prediction performance of this model is better than the other eight models. Relevant suggestions should be made for the source separation rate of municipal solid waste in 2035.