Multi-Temperature Synchronous Prediction of Municipal Solid Waste Incineration Based on a Non-Stationary Crossformer

Liqun Chang, Wei Wang (), Luyang Zhang, Jing Lv, Yunlai Fu and Xianhui Hu
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Liqun Chang: College of Information Engineering, Dalian Ocean University, Dalian 116023, China
Wei Wang: College of Information Engineering, Dalian Ocean University, Dalian 116023, China
Luyang Zhang: College of Information Engineering, Dalian Ocean University, Dalian 116023, China
Jing Lv: College of Information Engineering, Dalian Ocean University, Dalian 116023, China
Yunlai Fu: College of Information Engineering, Dalian Ocean University, Dalian 116023, China
Xianhui Hu: College of Information Engineering, Dalian Ocean University, Dalian 116023, China

Sustainability, 2025, vol. 17, issue 5, 1-19

Abstract: In this study, we designed a multi-temperature synchronous prediction method for municipal solid waste incineration (MSWI) based on a non-stationary Crossformer model. It is mainly divided into the following steps: First, use a normalization module to normalize the preprocessed temperature sample data. Secondly, add a non-stationary attention module to calculate the non-stationary attention of a single time series. Next, construct an attention convolutional network to extract non-stationary attention features, and based on this, calculate the attention between multiple temperature time series. Finally, perform data restoration based on a de-normalization module. By using the above methods, not only can the data characteristics lost during the model’s over-processing of the original temperature data during training be restored, but also the deeper level of data features and the correlation between various temperatures can be captured. The non-stationary recovery and correlation calculation of multi-temperature time series were achieved simultaneously. The experimental results based on actual data from Chinese MSWI factories show that this method has high accuracy in the multi-temperature synchronous prediction of MSWI.

Keywords: municipal solid waste incineration (MSWI); multi-temperature synchronous prediction; non-stationary attention; attention convolution (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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