Interpretable short-term carbon dioxide emissions forecasting based on flexible two-stage decomposition and temporal fusion transformers

被引：0
|
作者：
Wu, Binrong [1 ]
Zeng, Huanze [1 ]
Wang, Zhongrui [2 ]
Wang, Lin [3 ]
机构：
[1] Business School, Hohai University, Nanjing,211100, China
[2] School of Management, Wuhan Institute of Technology, Wuhan,430205, China
[3] Research Center of Smart Logistics and Decision Science, School of Management, Huazhong University of Science and Technology, Wuhan,430074, China
来源：
Applied Soft Computing | / 159卷
关键词：
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I：
111639
中图分类号：
学科分类号：
摘要：
Carbon dioxide - Deep learning - Emission control - Evolutionary algorithms - Global warming - Optimization - Silicate minerals
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