Research on Prediction of Heating Surface Ash Accumulation Using Informer Model with Multi-scale Features
In allusion to the frequent load variations and severe fluctuations in pollution factors in power plants,a predictive model utilizing the Informer model with multi-scale features is proposed.Base on sensor data denoised by wavelet transformation,pollu-tion factors,unit loads,and other relevant parameters are modelled to forecast boiler fouling status.The model is trained and vali-dated using boiler data of a power plant from January to September in 2022.The results indicate the prediction errors of the Inform-er model with multi-scale features reduce significantly,validating its effectiveness.
pollution factorInformer prediction modelfusion of multi-scale features
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