中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [6]
自动化研究所 [2]
数学与系统科学研究院 [1]
海洋研究所 [1]
沈阳自动化研究所 [1]
广州能源研究所 [1]
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OAI收割 [12]
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期刊论文 [11]
会议论文 [1]
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2025 [3]
2023 [1]
2022 [1]
2021 [1]
2020 [1]
2019 [1]
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Runoff Forecast Model Integrating Time Series Decomposition and Deep Learning for the Short Term: A Case Study in the Weihe River Basin, China
期刊论文
OAI收割
WATER, 2025, 卷号: 17, 期号: 18, 页码: 2718
作者:
Ma, Ruijia
;
An, Qiang
;
Liu, Liu
;
Cheng, Yongming
;
Liu, Xingcai
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/11/17
runoff forecasting
Convolutional Long Short-Term Memory
Seasonal-Trend decomposition using Loess
Variational Mode Decomposition
segmented decomposition sampling
multi-input neural network
An Improved Hybrid GC-LSTM Framework for Hourly Nowcasting of Ground-Level NO
2
Concentrations Over Beijing-Tianjin-Hebei Region
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 卷号: 63, 页码: 14
作者:
Han, Zongfu
;
Fan, Meng
;
Song, Shipeng
  |  
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2025/03/03
Atmospheric modeling
Monitoring
Predictive models
Satellites
Long short term memory
Forecasting
Accuracy
Air pollution
Spatial resolution
Graphical models
Grained cascade forest (gcForest)
ground-level nitrogen dioxide (NO2)
long short-term memory (LSTM)
nowcasting
tropospheric monitoring instrument (TROPOMI)
Precipitation Nowcasting Based on Radar Echo Images via Multiscale Spatiotemporal LSTM
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 卷号: 63, 页码: 5105614
作者:
Wang, Yueting
;
Yao, Ling
;
Jiang, Hou
;
Liu, Tang
;
Lu, Yuxiang
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/08/21
Spatiotemporal phenomena
Precipitation
Radar
Long short term memory
Predictive models
Radar imaging
Forecasting
Extrapolation
Feature extraction
Convolution
Deep learning (DL)
long short-term memory (LSTM)
multiscale spatiotemporal ((MST)-T-2) feature
precipitation nowcasting
radar echo extrapolation
BSTG-Trans: A Bayesian Spatial-Temporal Graph Transformer for Long-term Pose Forecasting
期刊论文
OAI收割
IEEE Transactions on Multimedia, 2023, 卷号: Early Access, 期号: Early Access, 页码: Early Access
作者:
Shentong Mo
;
Xin M(辛淼)
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2023/04/25
long-term forecasting
spatial-temporal graph transformer
Bayesian transformer
uncertainty estimation
An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting
期刊论文
OAI收割
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:102/0
  |  
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
ST-Trader: A Spatial-Temporal Deep Neural Network for Modeling Stock Market Movement
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 1015-1024
作者:
Xiurui Hou
;
Kai Wang
;
Cheng Zhong
;
Zhi Wei
  |  
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2021/04/09
Graph convolution network
long-short term memory network
stock market forecasting
variational autoencoder (VAE)
Short-term load forecasting of long-short term memory neural network based on genetic algorithm
会议论文
OAI收割
Wuhan, China, October 30 - November 1, 2020
作者:
Li WT(李婉婷)
;
Zang CZ(臧传治)
;
Liu D(刘鼎)
;
Zeng P(曾鹏)
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2021/03/14
load forecasting
long-short term neural networks
genetic algorithm
learning rate
iteration number
A novel residual graph convolution deep learning model for short-term network-based traffic forecasting
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 页码: 27
作者:
Zhang, Yang
;
Cheng, Tao
;
Ren, Yibin
;
Xie, Kun
  |  
收藏
  |  
浏览/下载:77/0
  |  
提交时间:2020/03/20
Short-term traffic forecasting
spatial-temporal dependency
network topology
graph convolution
residual long short-term memory
基于GLRM模型和MC误差修正的中长期负荷预测
期刊论文
OAI收割
新能源进展, 2017, 卷号: 5, 期号: 6, 页码: 472-477
作者:
崔琼
;
舒杰
;
吴志锋
;
黄磊
;
姚文明
  |  
收藏
  |  
浏览/下载:84/0
  |  
提交时间:2018/12/21
中长期负荷预测
灰色线性回归模型
马尔科夫链
误差定量估算
medium- and long-term load forecasting
GLRM
MC
quantitative estimation of error
Long-Term Streamflow Forecasting Based on Relevance Vector Machine Model
期刊论文
OAI收割
Water, 2017, 卷号: 9, 期号: 1, 页码: 11
作者:
Liu, Yong
  |  
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2019/09/26
long-term streamflow forecasting
relevance vector machine
support vector machine
hydrological process