Multivariate multi-step time series prediction of induction motor situation based on fused temporal-spatial features
C Chen, Y Yuan, W Sun, F Zhao - International Journal of Hydrogen Energy, 2024 - Elsevier
Induction motor temperature situation prediction provides a decision basis for preventive
maintenance in coal mining companies. However, multi-step prediction of induction motor …
maintenance in coal mining companies. However, multi-step prediction of induction motor …
DDTCN: Decomposed dimension time-domain convolutional neural network along spatial dimensions for multiple long-term series forecasting
K Zheng, J Wang, Y Chen, R Jiang, W Wang - Applied Intelligence, 2024 - Springer
Time series analysis is widely applied in action recognition, anomaly detection, and weather
forecasting. Time series forecasting remains a key challenge due to the complexity of …
forecasting. Time series forecasting remains a key challenge due to the complexity of …
[HTML][HTML] Forecasting urban temperatures through crowdsourced data from Citizen Weather Stations
LR Rodríguez, MCG Delgado, DC Medina, JS Ramos… - Urban Climate, 2024 - Elsevier
This work explores the potential of using crowdsourced data from Citizen Weather Stations
(CWS) to forecast urban temperatures. Five case studies were selected (Madrid, London …
(CWS) to forecast urban temperatures. Five case studies were selected (Madrid, London …
PM2. 5 prediction based on dynamic spatiotemporal graph neural network
H Liao, M Wu, L Yuan, Y Hu, H Gong - Applied Intelligence, 2024 - Springer
Air pollution is one of the main public health and safety issues facing humanity. PM2. 5
concentration prediction (PCP) helps the public to prevent and make government decisions …
concentration prediction (PCP) helps the public to prevent and make government decisions …
[PDF][PDF] 防辐射罩区域自动气象站气温观测偏差分析及其订正方法
王星宇， 严婧， 刘莹， 刘园园， 孙越 - 暴雨灾害, 2024 - byzh.org.cn
分析防辐射罩区域自动气象站气温值偏差变化特征, 有助于自动站气温资料质量的订正,
进而提高自动站气温资料的可用性. 因此, 基于2019 年6 月—2022 年5 月湖北省防辐射罩区域 …
进而提高自动站气温资料的可用性. 因此, 基于2019 年6 月—2022 年5 月湖北省防辐射罩区域 …
Optimization of Table Tennis Swing Action Supported by the Temporal Convolutional Network Algorithm in Deep Learning
S Sun, H Zheng, Z Lin - IEEE Access, 2024 - ieeexplore.ieee.org
To enhance the navigation accuracy and interpretability of Unmanned Aerial Vehicles
(UAVs) in sports analysis, this study proposes an improved model based on the Temporal …
(UAVs) in sports analysis, this study proposes an improved model based on the Temporal …
Optimization Hybrid of Multiple-Lag LSTM Networks for Meteorological Prediction
L Zhu, Z Zhang, MJC Crabbe, LC Das - Mathematics, 2023 - mdpi.com
Residences in poor regions always depend on rain-fed agriculture, so they urgently need
suitable tools to make accurate meteorological predictions. Unfortunately, meteorological …
suitable tools to make accurate meteorological predictions. Unfortunately, meteorological …
Predicting and Discovering Weather Patterns in South Africa Using Spatial-Temporal Graph Neural Networks
Abstract This study explores Spatial-Temporal Graph Neural Networks (STGNNs) for
predicting and discovering weather patterns in South Africa. We compared the predictive …
predicting and discovering weather patterns in South Africa. We compared the predictive …
Enhancing Deep Neural Network Architecture in Spatio-Temporal Forecasting Through Neural Architecture Search
Spatiotemporal forecasting is indispensable for pre-dicting dynamic patterns across space
and time, providing valu-able insights into phenomena such as climate changes and …
and time, providing valu-able insights into phenomena such as climate changes and …
Forecasting Future Temperatures at the Urban Scale Using Crowdsourced Data
L Romero Rodríguez, J Sánchez Ramos… - Available at SSRN … - papers.ssrn.com
This work explores the potential of using crowdsourced data obtained from Citizen Weather
Stations (CWS) to forecast urban temperatures. Five case studies were selected (Madrid …
Stations (CWS) to forecast urban temperatures. Five case studies were selected (Madrid …