“The research team proposed a multi-scale feature fusion enhanced LSTM neural network model, which effectively solves the problem of insufficient prediction accuracy in boiler multi-objective prediction due to the different types of temporal distribution characteristics of the predicted targets. This provides a new solution for multi-objective prediction of combustion status in power plant boilers.”