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FiTiformer: A fluctuation–trend modulation model for multi-step forecasting of wastewater influent parameters | Synapse
March 3, 2026
FiTiformer: A fluctuation–trend modulation model for multi-step forecasting of wastewater influent parameters
YL
Yiqi Liu
Peng Cheng Laboratory
SR
Shuyang Ren
South China University of Technology
GF
Gang Fang
East China Jiaotong University
Key Points
Improved multi-step forecasting of wastewater influent parameters is achieved with the Fluctuation-Trend Modulation model.
The model demonstrates 20% better accuracy when compared to standard predictive techniques.
Assessment using time series analysis highlights the model's effectiveness across various wastewater datasets.
The findings imply that advanced forecasting methods can optimize wastewater management strategies and resource allocation.
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Liu et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75d91c6e9836116a27bb6
https://doi.org/https://doi.org/10.1016/j.jwpe.2026.109600