中国开放科研知识云: 检索

验证码:

换一张

忘记密码？记住我

取消登录

CORC

首页
科研机构
检索
知识图谱
申请加入
托管服务

在结果中检索

科研机构

数学与系统科学研究... [25]

内容类型

期刊论文 [25]

发表日期

知识图谱

CORC

已提交作品

待认领作品

已认领作品

未提交全文

浏览/检索结果: 共25条，第1-10条

帮助

限定条件	专题：数学与系统科学研究院第一署名单位第一作者单位通讯作者单位

已选(0)清除条数/页：排序方式：
	A novel two-stage seasonal grey model for residential electricity consumption forecasting 期刊论文 ENERGY, 2022, 卷号: 258, 页码: 18 作者: Du, Pei; Guo, Ju'e; Sun, Shaolong; Wang, Shouyang; Wu, Jing 收藏 \| 浏览/下载：13/0 \| 提交时间：2023/02/07 Electricity consumption forecasting Grey model Seasonal factor Error correction strategy
	A new PM2.5 concentration forecasting system based on AdaBoost-ensemble system with deep learning approach 期刊论文 JOURNAL OF FORECASTING, 2022, 页码: 22 作者: Li, Zhongfei; Gan, Kai; Sun, Shaolong; Wang, Shouyang 收藏 \| 浏览/下载：7/0 \| 提交时间：2023/02/07 AdaBoost-ensemble deep learning hybrid data preprocessing-analysis strategy LSTM
	Hybrid data decomposition-based deep learning for Bitcoin prediction and algorithm trading 期刊论文 Financial Innovation, 2022, 卷号: 8, 期号: 1 作者: Li,Yuze; Jiang,Shangrong; Li,Xuerong; Wang,Shouyang 收藏 \| 浏览/下载：18/0 \| 提交时间：2022/04/29 Bitcoin price Variational mode decomposition Deep learning Price forecasting Algorithmic trading
	Forecasting daily tourism volume: a hybrid approach with CEMMDAN and multi-kernel adaptive ensemble 期刊论文 CURRENT ISSUES IN TOURISM, 2022, 页码: 20 作者: Zhao, Erlong; Du, Pei; Azaglo, Ernest Young; Wang, Shouyang; Sun, Shaolong 收藏 \| 浏览/下载：283/0 \| 提交时间：2022/04/29 Daily tourism volume forecasting decomposition ensemble approach sample entropy kernel extreme learning machine multi-kernel adaptive strategy
	Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks 期刊论文 ENERGY, 2022, 卷号: 238, 页码: 22 作者: Li, Dan; Jiang, Fuxin; Chen, Min; Qian, Tao 收藏 \| 浏览/下载：18/0 \| 提交时间：2022/04/02 Wind speed forecasting Ensemble patch transform Complete ensemble empirical mode decomposition Temporal convolutional network Hybrid method
	A novel machine learning-based electricity price forecasting model based on optimal model selection strategy 期刊论文 ENERGY, 2022, 卷号: 238, 页码: 14 作者: Yang, Wendong; Sun, Shaolong; Hao, Yan; Wang, Shouyang 收藏 \| 浏览/下载：13/0 \| 提交时间：2022/04/02 Electricity price Forecasting Hybrid model Model selection Kernel-based extreme learning machine
	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：16/0 \| 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
	Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm 期刊论文 RESOURCES POLICY, 2021, 卷号: 74, 页码: 10 作者: Du, Pei; Guo, Ju'e; Sun, Shaolong; Wang, Shouyang; Wu, Jing 收藏 \| 浏览/下载：14/0 \| 提交时间：2022/04/02 Metal prices forecasting Data processing method Optimized extreme learning machine Hybrid forecasting model
	A novel multiscale forecasting model for crude oil price time series 期刊论文 TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 卷号: 173, 页码: 15 作者: Li, Ranran; Hu, Yucai; Heng, Jiani; Chen, Xueli 收藏 \| 浏览/下载：9/0 \| 提交时间：2022/04/02 Crude oil price forecasting Decomposition-ensemble method Support vector machine Multiscale strategy Complexity analysis
	A New Hybrid VMD-ICSS-BiGRU Approach for Gold Futures Price Forecasting and Algorithmic Trading 期刊论文 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 卷号: 8, 期号: 6, 页码: 1357-1368 作者: Li, Yuze; Wang, Shouyang; Wei, Yunjie; Zhu, Qing 收藏 \| 浏览/下载：13/0 \| 提交时间：2022/04/02 Gold Forecasting Autoregressive processes Predictive models Signal resolution Deep learning Mathematical model Algorithmic trading bidirectional gated recurrent unit (BiGRU) gold futures price forecasting variational mode decomposition (VMD)

相关链接
欧盟学术资源开放存取平台
CALIS高校机构知识库
台湾学术机构典藏
香港机构知识库整合系统
中国科学院机构知识库网格系统

CORC
关于我们
服务条款
隐私条款

联系我们
0931-8270076
cspace@llas.ac.cn
China-OR

中文简体

©版权所有 ©2017 CSpace - Powered by CSpace