中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共5条，第1-5条 帮助

已选(0)清除 条数/页：   排序方式：
An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting 期刊论文
APPLIED ENERGY, 2022, 卷号: 306, 页码: 16
作者:  Yang, Dongchuan;  Guo, Ju-E;  Sun, Shaolong;  Han, Jing;  Wang, Shouyang
收藏  |  浏览/下载：116/0  |  提交时间：2022/04/02
Short-term load forecasting  Bivariate empirical mode decomposition  Decomposition-ensemble approach  Reconstruction  Bayesian optimization  Long short-term memory network  
Air pollution forecasting with multivariate interval decomposition ensemble approach 期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2021, 卷号: 12, 期号: 12, 页码: 14
作者:  Dong, Yawei;  Zhang, Chengyuan;  Niu, Mingfei;  Wang, Shouyang;  Sun, Shaolong
收藏  |  浏览/下载：110/0  |  提交时间：2022/04/02
Daily PM 10 concentration forecast  Air quality  Interval forecasting  Noise-assisted multivariate empirical mode  decomposition  Maximum mutual information  
A new decomposition ensemble approach for tourism demand forecasting: Evidence from major source countries in Asia-Pacific region 期刊论文
INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2021, 页码: 14
作者:  Zhang, Chengyuan;  Jiang, Fuxin;  Wang, Shouyang;  Sun, Shaolong
收藏  |  浏览/下载：167/0  |  提交时间：2021/04/26
artificial intelligence  Asia‐  Pacific region  decomposition ensemble approach  NA‐  MEMD  tourism demand forecasting  
A novel two-stage approach for cryptocurrency analysis 期刊论文
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2020, 卷号: 72, 页码: 13
作者:  Yang, Boyu;  Sun, Yuying;  Wang, Shouyang
收藏  |  浏览/下载：122/0  |  提交时间：2021/04/26
Bitcoin  Cryptocurrency  Noise-assisted multivariate empirical mode  decomposition  Two-stage decomposition and composition  
A multi-scale method for forecasting oil price with multi-factor search engine data 期刊论文
APPLIED ENERGY, 2020, 卷号: 257, 页码: 12
作者:  Tang, Ling;  Zhang, Chengyuan;  Li, Ling;  Wang, Shouyang
收藏  |  浏览/下载：141/0  |  提交时间：2020/05/24
Big data  Search engine data  Google trends  Multivariate empirical mode decomposition  Oil price forecasting