C02 Emission Concentration Modeling Method Based on LSTM in Municipal Solid Waste Incineration Process

The C02 emissions from municipal solid waste incineration (MSWI) processes significantly influence dual-carbon goals and ecological environmental protection. This article proposes a method for modeling C02 emission concentrations based on long short-term memory (LSTM). Initially, the Z-Score method is applied to handle outliers. Subsequently, the mutual information (MI) algorithm assesses the correlation between features and C02 emissions, facilitating feature selection. Finally, the LSTM algorithm constructs a predictive model for C02 emission concentrations. The effectiveness of the proposed method is validated using real C02 data from the MSWI process in Beijing.