A Method of Communication Delay Compensation for Urban Transit SystemBased on Long-term and Short-term Memory

A Method of Communication Delay Compensation for Urban Transit SystemBased on Long-term and Short-term Memory

Communication delay and packet loss in train to ground wireless communication of urban rail transit system impedes the application of energy management system. 18 groups of train power data, in which drivers driving in the same section, are collected via 4G wireless communication. A real-time rollin...

Full description

Saved in:

Bibliographic Details
Main Authors:	HUANG Zihao, LI Hongbo, ZHANG Chao, XU Dongsheng
Format:	Article
Language:	zho
Published:	Editorial Office of Control and Information Technology 2021-01-01
Series:	Kongzhi Yu Xinxi Jishu
Subjects:	communication delay compensation neural network load forecast long-term and short-term memory network (LSTM)
Online Access:	http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2021.03.002
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Short-Term Electricity Load Forecasting Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Improved Sparrow Search Algorithm–Convolutional Neural Network–Bidirectional Long Short-Term Memory Model
by: Han Qiu, et al.
Published: (2025-02-01)

EOST-LSTM: Long Short-Term Memory Model Combined with Attention Module and Full-Dimensional Dynamic Convolution Module
by: Guangxin He, et al.
Published: (2025-03-01)

Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model
by: Zachary Barbre, et al.
Published: (2025-04-01)

Short-Term Load Forecasting for Electrical Power Distribution Systems Using Enhanced Deep Neural Networks
by: Shewit Tsegaye, et al.
Published: (2024-01-01)

Short-Term Load Forecasting Based on Pelican Optimization Algorithm and Dropout Long Short-Term Memories–Fully Convolutional Neural Network Optimization
by: Haonan Wang, et al.
Published: (2024-12-01)

A big data framework for short-term power load forecasting using heterogenous data
by: Haibo ZHAO, et al.
Published: (2022-12-01)

Short-Term Wind Power Prediction Model Based on PSO-CNN-LSTM
by: Qingquan Lv, et al.
Published: (2025-06-01)

THE IMPACT OF THE PRESIDENTIAL ELECTION ON IDX COMPOSITE PREDICTIONS USING LONG SHORT TERM MEMORY
by: Ashilla Maula Hudzaifa, et al.
Published: (2024-10-01)

Short-Term Load Forecasting Based on Complementary Ensemble Empirical Mode Decomposition and Long Short-Term Memory
by: Huiru ZHAO, et al.
Published: (2020-06-01)

ILSTMA: Enhancing Accuracy and Speed of Long-Term and Short-Term Memory Architecture
by: Zongyu Ming, et al.
Published: (2025-03-01)

Long Short-Term Memory Networks for the Automated Identification of the Stationary Phase in Tribological Experiments
by: Yuxiao Zhao, et al.
Published: (2024-11-01)

Short-term Load Forecasting Based on CNN-LSTM with Quadratic Decomposition Combined
by: DENG Bowen, et al.
Published: (2023-08-01)

A Convolutional Neural Network–Long Short-Term Memory–Attention Solar Photovoltaic Power Prediction–Correction Model Based on the Division of Twenty-Four Solar Terms
by: Guodong Wu, et al.
Published: (2024-11-01)

An adaptive prediction method for ultra-short-term generation power of power system based on the improved long- and short-term memory network of sparrow algorithm
by: Peipei Yang, et al.
Published: (2025-06-01)

Short-Term Electrical Load Forecasting Through Optimally Configured Long Short-Term Memory
by: Somasundaram Vasudevan, et al.
Published: (2024-12-01)

Composite Fault Prediction of Bearing Based on Cascaded Long Short Term Memory Neural Network
by: JIANG Xuyao, et al.
Published: (2022-02-01)

Photovoltaic Short-Term Output Power Forecast Model Based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise–Kernel Principal Component Analysis–Long Short-Term Memory
by: Lan Cao, et al.
Published: (2024-12-01)

Development of Robot Feature for Stunting Analysis Using Long-Short Term Memory (LSTM) Algorithm
by: Muhammad Rahadian Abdurrahman, et al.
Published: (2024-10-01)

Rice Price Prediction with Long Short-Term Memory (LSTM) Neural Network
by: Rahmat Hidayat, et al.
Published: (2024-10-01)

Wind Power Prediction Method Based on Long Short-term Memory Neural Network
by: Xiangjun LI, et al.
Published: (2019-10-01)

Short-Term Power Load Prediction of VMD-LSTM Based on ISSA Optimization
by: Shuai Wu, et al.
Published: (2025-05-01)

Empowering data-driven load forecasting by leveraging long short-term memory recurrent neural networks
by: Waqar Waheed, et al.
Published: (2024-12-01)

The Effect of Jasmine Aromatherapy on Short-Term Memory Performance
by: Ramon Ananda Paryontri, et al.
Published: (2022-08-01)

Forecasting Insurance Company Commitments with Long Short-Term Memory Models
by: Negar Tehraniyazdi, et al.
Published: (2024-12-01)

Forecasting very short-term power load with hybrid interpretable deep models
by: Zhihe Yang, et al.
Published: (2025-12-01)

Forecasting Stock Returns Using Long Short-Term Memory (LSTM) Model Based on Inflation Data and Historical Stock Price Movements
by: Nur Faid Prasetyo, et al.
Published: (2025-05-01)

Enhancing Short-Term Load Forecasting Accuracy in High-Volatility Regions Using LSTM-SCN Hybrid Models
by: Bingbing Tang, et al.
Published: (2024-12-01)

Convolutional Neural Networks—Long Short-Term Memory—Attention: A Novel Model for Wear State Prediction Based on Oil Monitoring Data
by: Ying Du, et al.
Published: (2025-07-01)

Milling Cutter Wear Prediction Based on Feature Extraction and LongShort-term Memory Neural Networks
by: ZHOU Chengpeng, et al.
Published: (2021-01-01)

Simulation and Empirical Studies of Long Short-Term Memory Performance to Deal with Limited Data
by: Khusnia Nurul Khikmah, et al.
Published: (2025-05-01)

Short-Term Water Demand Forecasting Using Machine Learning Approaches in a Case Study of a Water Distribution Network Located in Italy
by: Qidong Que, et al.
Published: (2024-09-01)

Short-term train arrival delay prediction: a data-driven approach
by: Qingyun Fu, et al.
Published: (2024-08-01)

Hybrid Optimization based on Deep Learning Approach for Short-Term Load Forecast of Electricity Demand in Buildings
by: Charan Sekhar Makula, et al.
Published: (2024-06-01)

A Short-Term Prediction Method for Tropospheric Delay Products in PPP-RTK Based on Multi-Scale Sliding Window LSTM
by: Linyu He, et al.
Published: (2025-04-01)

Short-Term Water Demand Forecasting Based on LSTM Using Multi-Input Data
by: Dingtong Wang, et al.
Published: (2024-09-01)

CO2 Gas Layer Recognition Method Based on Long Short-Term Memory Network
by: HE Lina, et al.
Published: (2024-02-01)

Zenith Tropospheric Delay Forecasting in the European Region Using the Informer–Long Short-Term Memory Networks Hybrid Prediction Model
by: Zhengdao Yuan, et al.
Published: (2024-12-01)

Experiments on long-term and short-term memory for pitch in musicians
by: Andrzej RAKOWSKI, et al.
Published: (2014-04-01)

Kolmogorov–Arnold and Long Short-Term Memory Convolutional Network Models for Supervised Quality Recognition of Photoplethysmogram Signals
by: Aneeqa Mehrab, et al.
Published: (2025-03-01)

Revisiting the Nexus Between Energy Consumption, Economic Growth, and CO<sub>2</sub> Emissions in India and China: Insights from the Long Short-Term Memory (LSTM) Model
by: Bartosz Jóźwik, et al.
Published: (2025-08-01)