Prediction of CORS Water Vapor Values Based on the CEEMDAN and ARIMA-LSTM Combination Model

Prediction of CORS Water Vapor Values Based on the CEEMDAN and ARIMA-LSTM Combination Model

By relying on the advantages of a uniform site distribution and continuous observation of the Continuously Operating Reference Stations (CORS) system, real-time high-precision Global Navigation Satellite System/Precipitable Water Vapor (GNSS/PWV) data interpretation can be carried out to achieve acc...

Full description

Bibliographic Details
Main Authors:	Xingxing Xiao, Weicai Lv, Yuchen Han, Fukang Lu, Jintao Liu
Format:	Article
Language:	English
Published:	MDPI AG 2022-09-01
Series:	Atmosphere
Subjects:	CORS PWV CEEMDAN ARIMA LSTM
Online Access:	https://www.mdpi.com/2073-4433/13/9/1453

Similar Items

A Novel Hybrid Model for Financial Forecasting Based on CEEMDAN-SE and ARIMA-CNN-LSTM
by: Zefan Dong, et al.
Published: (2024-08-01)

Forecasting of runoff in the lower Yellow River based on the CEEMDAN–ARIMA model
by: Minghui Zhang, et al.
Published: (2023-03-01)

Peak Electrical Energy Consumption Prediction by ARIMA, LSTM, GRU, ARIMA-LSTM and ARIMA-GRU Approaches
by: Agbessi Akuété Pierre, et al.
Published: (2023-06-01)

Models for COVID-19 Data Prediction Based on Improved LSTM-ARIMA Algorithms
by: Yong-Chao Jin, et al.
Published: (2024-01-01)

Research and Evaluation on Dynamic Maintenance of an Elevation Datum Based on CORS Network Deformation
by: Shenghao Liang, et al.
Published: (2023-06-01)

Prediction of acute onset of chronic cor pulmonale: comparative analysis of Holt-Winters exponential smoothing and ARIMA model
by: Nan Wang, et al.
Published: (2024-09-01)

Prediction of sea ice area based on the CEEMDAN-SO-BiLSTM model
by: Qiao Guo, et al.
Published: (2023-07-01)

Foreign Exchange Forecasting Models: ARIMA and LSTM Comparison
by: Fernando García, et al.
Published: (2023-07-01)

Investment Decision on Cryptocurrency: Comparing Prediction Performance Using ARIMA and LSTM
by: Svend Pasak, et al.
Published: (2023-05-01)

A Comparative Analysis of the ARIMA and LSTM Predictive Models and Their Effectiveness for Predicting Wind Speed
by: Meftah Elsaraiti, et al.
Published: (2021-10-01)

RUL prediction of lithium ion battery based on CEEMDAN-CNN BiLSTM model
by: Xifeng Guo, et al.
Published: (2023-10-01)

Gas Concentration Prediction Based on IWOA-LSTM-CEEMDAN Residual Correction Model
by: Ningke Xu, et al.
Published: (2022-06-01)

HVAC Load Forecasting Based on the CEEMDAN-Conv1D-BiLSTM-AM Model
by: Zhicheng Xiao, et al.
Published: (2023-11-01)

Comparison of ARIMA and LSTM in Predicting Structural Deformation of Tunnels during Operation Period
by: Chuangfeng Duan, et al.
Published: (2023-06-01)

Forecasting carbon dioxide emission price using a novel mode decomposition machine learning hybrid model of CEEMDAN‐LSTM
by: Po Yun, et al.
Published: (2023-01-01)

A Hybrid ARIMA-LSTM Model for Short-Term Vehicle Speed Prediction
by: Wei Wang, et al.
Published: (2024-07-01)

Monthly precipitation prediction in Luoyang city based on EEMD-LSTM-ARIMA model
by: Jiwei Zhao, et al.
Published: (2023-01-01)

A New Hybrid Prediction Method of El Niño/La Niña Events by Combining TimesNet and ARIMA
by: Yuhao Du, et al.
Published: (2023-01-01)

Comparative Analysis of ARIMA and LSTM for Forecasting Maximum Wind Speed in Kupang City, East Nusa Tenggara
by: Indah Magfirrah, et al.
Published: (2024-08-01)

Load forecasting analysis for regional and industry power systems-based on ARIMA model and LSTM model
by: Chen Jiongcheng, et al.
Published: (2022-01-01)

Hybrid Model Based on an SD Selection, CEEMDAN, and Deep Learning for Short-Term Load Forecasting of an Electric Vehicle Fleet
by: Ahmad Mohsenimanesh, et al.
Published: (2022-09-01)

Forecasting the Monkeypox Outbreak Using ARIMA, Prophet, NeuralProphet, and LSTM Models in the United States
by: Bowen Long, et al.
Published: (2023-01-01)

Forecasting the Traffic Flow by Using ARIMA and LSTM Models: Case of Muhima Junction
by: Vienna N. Katambire, et al.
Published: (2023-11-01)

Prediction of COVID-19 Data Using an ARIMA-LSTM Hybrid Forecast Model
by: Yongchao Jin, et al.
Published: (2022-10-01)

Traffic Forecasting of Back Servers Based on ARIMA-LSTM-CF Hybrid Model
by: Erzhuang Yao, et al.
Published: (2023-04-01)

Prediction of COVID-19 Data Using Improved ARIMA-LSTM Hybrid Forecast Models
by: Yong-Chao Jin, et al.
Published: (2023-01-01)

Temperature Prediction of Seasonal Frozen Subgrades Based on CEEMDAN-LSTM Hybrid Model
by: Liyue Chen, et al.
Published: (2022-08-01)

Air Pollutant Concentration Prediction Based on a CEEMDAN-FE-BiLSTM Model
by: Xuchu Jiang, et al.
Published: (2021-11-01)

A novel ensemble ARIMA‐LSTM approach for evaluating COVID‐19 cases and future outbreak preparedness
by: Somit Jain, et al.
Published: (2024-12-01)

Forecasting of Natural Gas Consumption in Poland Based on ARIMA-LSTM Hybrid Model
by: Anna Manowska, et al.
Published: (2021-12-01)

Modeling and forecasting CO2 emissions in China and its regions using a novel ARIMA-LSTM model
by: Tingxin Wen, et al.
Published: (2023-11-01)

A Gradient Boosting Decision Tree Based Correction Model for AIRS Infrared Water Vapor Product
by: Jiafei Xu, et al.
Published: (2023-07-01)

Comparative Analysis of ARIMA and lSTM Predictive Models: Evidence from Russian Stocks
by: A. V. Alzheev, et al.
Published: (2020-03-01)

Prediction of PM2.5 concentration based on the CEEMDAN-RLMD-BiLSTM-LEC model
by: Qiao Guo, et al.
Published: (2023-08-01)

Time series forecasting of stock market using ARIMA, LSTM and FB prophet
by: Sunki Asha, et al.
Published: (2024-01-01)

Electricity Consumption Forecasting in Algeria using ARIMA and Long Short-Term Memory Neural Network
by: Abdelkader SAHED, et al.
Published: (2023-11-01)

Predicting monthly gold prices in indian rupees using ARIMA, LSTM, GRU, and Simple Linear Regression models
by: Hanan ALJOHANI, et al.
Published: (2024-06-01)

Analysis of the Composition of Ancient Glass and Its Identification Based on the Daen-LR, ARIMA-LSTM and MLR Combined Process
by: Zhi-Xing Li, et al.
Published: (2023-05-01)

Condition Identification of Gears based on CEEMDAN Energy Entropy
by: Dou Chunhong, et al.
Published: (2018-01-01)

Analysis and prediction of nuclear power plant operation events based on ARIMA-LSTM model
by: HOU Qinmai, et al.
Published: (2022-12-01)