Exploring a multi-output temporal convolutional network driven encoder-decoder framework for ammonia nitrogen forecasting

Sheng, Sheng; Lin, Kangling; Zhou, Yanlai; Chen, Hua; Luo, Yuxuan; Xu, Chong‐Yu

doi:10.1016/j.jenvman.2023.118232

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Exploring a multi-output temporal convolutional network driven encoder-decoder framework for ammonia nitrogen forecasting

Cited by 6 publications

References 46 publications

Hybrid WT–CNN–GRU-based model for the estimation of reservoir water quality variables considering spatio-temporal features

Hybrid WT–CNN–GRU-based model for the estimation of reservoir water quality variables considering spatio-temporal features

Interpretable prediction, classification and regulation of water quality: A case study of Poyang Lake, China

Pre-training enhanced spatio-temporal graph neural network for predicting influent water quality and flow rate of wastewater treatment plant: Improvement of forecast accuracy and analysis of related factors

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