Research on an Ultra-Short-Term Working Condition Prediction Method Based on a CNN-LSTM Network

Research on an Ultra-Short-Term Working Condition Prediction Method Based on a CNN-LSTM Network

Affected by factors such as complex production operation data, high dimensions, and weak regularity, the existing ultra-short-term working condition prediction method struggles to guarantee the prediction accuracy and operation speed. Therefore, we propose an ultra-short-term working condition predi...

Full description

Bibliographic Details
Main Authors:	Mengqing Tian, Jijun Zhu, Huaping Xiong, Wanwei Liu, Tao Liu, Yan Zhang, Shunzhi Wang, Kejia Zhang, Mingyue Liao, Yixing Xu
Format:	Article
Language:	English
Published:	MDPI AG 2023-03-01
Series:	Electronics
Subjects:	convolutional neural network long short-term memory network ultra-short-term working condition prediction time series data
Online Access:	https://www.mdpi.com/2079-9292/12/6/1391

Similar Items

A CNN-LSTM Ship Motion Extreme Value Prediction Model
by: ZHAN Ke, ZHU Renchuan
Published: (2023-08-01)

Multidimensional CNN-LSTM Network for Automatic Modulation Classification
by: Na Wang, et al.
Published: (2021-07-01)

Ultra-Short-Term Platform Motion Prediction Method of Large Floating Wind Turbines Based on LSTM Network
by: WEI Hui, CHEN Peng, ZHANG Ruihan, CHENG Zhengshun
Published: (2023-10-01)

A Comparison of Power Quality Disturbance Detection and Classification Methods Using CNN, LSTM and CNN-LSTM
by: Carlos Iturrino Garcia, et al.
Published: (2020-09-01)

Ultra-Short-Term Load Demand Forecast Model Framework Based on Deep Learning
by: Hongze Li, et al.
Published: (2020-09-01)

An Automatic Diagnosis of Arrhythmias Using a Combination of CNN and LSTM Technology
by: Zhenyu Zheng, et al.
Published: (2020-01-01)

Application of Spectrum State Prediction Method Based on CNN-LSTM Network in Communication Interference
by: Zhoutai Tian, et al.
Published: (2023-01-01)

CNN-AttBiLSTM Mechanism: A DDoS Attack Detection Method Based on Attention Mechanism and CNN-BiLSTM
by: Junjie Zhao, et al.
Published: (2023-01-01)

CNN-LSTM Prediction Method for Blood Pressure Based on Pulse Wave
by: Hanlin Mou, et al.
Published: (2021-07-01)

Fast Prediction of Urban Flooding Water Depth Based on CNN−LSTM
by: Jian Chen, et al.
Published: (2023-04-01)

Fake News Detection Using Optimized CNN and LSTM Techniques
by: Emmy Danny Ajik, et al.
Published: (2023-08-01)

Emergency sign language recognition from variant of convolutional neural network (CNN) and long short term memory (LSTM) models
by: Muhammad Amir As'ari, et al.
Published: (2024-02-01)

A New Hybrid Model Based on SCINet and LSTM for Short-Term Power Load Forecasting
by: Mingping Liu, et al.
Published: (2023-12-01)

Ultra-Short-Term Wind Power Forecasting Based on CGAN-CNN-LSTM Model Supported by Lidar
by: Jinhua Zhang, et al.
Published: (2023-04-01)

An Ultra-Short-Term Electrical Load Forecasting Method Based on Temperature-Factor-Weight and LSTM Model
by: Dengyong Zhang, et al.
Published: (2020-09-01)

Short-Term Load Forecasting with an Ensemble Model Based on 1D-UCNN and Bi-LSTM
by: Wenhao Chen, et al.
Published: (2022-10-01)

Ultra-short-term power forecast of photovoltaic power station based on VMD–LSTM model optimised by SSA
by: Yizhou Jing, et al.
Published: (2023-07-01)

A real-time topology identification method of distribution networks based on CNN-LSTM-Attention
by: LING Jiakai, et al.
Published: (2024-03-01)

Solar Energy Production Forecasting Based on a Hybrid CNN-LSTM-Transformer Model
by: Elham M. Al-Ali, et al.
Published: (2023-01-01)

Multi-Input CNN-LSTM deep learning model for fear level classification based on EEG and peripheral physiological signals
by: Nagisa Masuda, et al.
Published: (2023-06-01)

Short-Term Canyon Wind Speed Prediction Based on CNN—GRU Transfer Learning
by: Lipeng Ji, et al.
Published: (2022-05-01)

A Hybrid CNN and LSTM based Model for Financial Crisis Prediction
by: Zhengjun Liu, et al.
Published: (2024-01-01)

Faster R-CNN-LSTM Construction Site Unsafe Behavior Recognition Model
by: Xu Li, et al.
Published: (2023-09-01)

A Two-Terminal Fault Location Fusion Model of Transmission Line Based on CNN-Multi-Head-LSTM with an Attention Module
by: Chao Su, et al.
Published: (2023-02-01)

Enhancing Short-Term Power Load Forecasting for Industrial and Commercial Buildings: A Hybrid Approach Using TimeGAN, CNN, and LSTM
by: Yushan Liu, et al.
Published: (2023-01-01)

A Fiber Vibration Signal Recognition Method Based on CNN-CBAM-LSTM
by: Jincheng Huang, et al.
Published: (2022-08-01)

Individual Identification by Late Information Fusion of EmgCNN and EmgLSTM from Electromyogram Signals
by: Yeong-Hyeon Byeon, et al.
Published: (2022-09-01)

Ultra-Short-Term Prediction of Wind Power Based on Error Following Forget Gate-Based Long Short-Term Memory
by: Pei Zhang, et al.
Published: (2020-10-01)

An efficient and intelligent traffic flow prediction method based on LSTM and variational modal decomposition
by: Jingyi Lu
Published: (2023-08-01)

CNN and LSTM-Based Emotion Charting Using Physiological Signals
by: Muhammad Najam Dar, et al.
Published: (2020-08-01)

Application of Improved LSTM Neural Network in Time-Series Prediction of Extreme Short-Term Wave
by: SHANG Fancheng, LI Chuanqing, ZHAN Ke, ZHU Renchuan
Published: (2023-06-01)

A Fault Diagnosis Algorithm for the Dedicated Equipment Based on the CNN-LSTM Mechanism
by: Zhannan Guo, et al.
Published: (2023-07-01)

A hybrid CNN+LSTM-based intrusion detection system for industrial IoT networks
by: Hakan Can Altunay, et al.
Published: (2023-02-01)

Rate of Penetration Prediction Method for Ultra-Deep Wells Based on LSTM–FNN
by: Hongtao Liu, et al.
Published: (2022-08-01)

MPMABP: A CNN and Bi-LSTM-Based Method for Predicting Multi-Activities of Bioactive Peptides
by: You Li, et al.
Published: (2022-06-01)

Aeroengine Working Condition Recognition Based on MsCNN-BiLSTM
by: Jinsong Zheng, et al.
Published: (2022-09-01)

Wind speed prediction based on multi-channel long short-term memory convolution neural network
by: XIU Chunbo, et al.
Published: (2022-01-01)

PPG Signals-Based Blood-Pressure Estimation Using Grid Search in Hyperparameter Optimization of CNN–LSTM
by: Nurul Qashri Mahardika T, et al.
Published: (2023-08-01)

Sentiment Analysis of Comment Data Based on BERT-ETextCNN-ELSTM
by: Lujuan Deng, et al.
Published: (2023-07-01)

Urban Water Supply Forecasting Based on CNN-LSTM-AM Spatiotemporal Deep Learning Model
by: Yaxin Zhao, et al.
Published: (2023-01-01)