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Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method 期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15
作者:  Jiang, Fuxin;  Zhang, Chengyuan;  Sun, Shaolong;  Sun, Jingyun
收藏  |  浏览/下载：137/0  |  提交时间：2022/04/29
PM2.5 concentration forecasting  Complete ensemble empirical mode  decomposition with adaptive noise  Temporal convolutional  Data patterns  Deep learning  
Application of decomposition-ensemble learning paradigm with phase space reconstruction for day-ahead PM2.5 concentration forecasting 期刊论文
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2017, 卷号: 196, 页码: 110-118
作者:  Niu, Mingfei;  Gan, Kai;  Sun, Shaolong;  Li, Fengying
收藏  |  浏览/下载：128/0  |  提交时间：2018/07/30
PM2.5 concentration forecasting  Decomposition-ensemble learning paradigm  EEMD  PSR  LSSVM  
A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting 期刊论文
ATMOSPHERIC ENVIRONMENT, 2016, 卷号: 134, 页码: 168-180
作者:  Niu, Mingfei;  Wang, Yufang;  Sun, Shaolong;  Li, Yongwu
收藏  |  浏览/下载：139/0  |  提交时间：2018/07/30
Complementary ensemble empirical mode decomposition  Grey wolf optimizer  Support vector regression  Hybrid decomposition-ensemble model  PM2.5 concentration forecasting