A Hybrid SARIMA‐LSTM Model for Air Temperature Forecasting

Article Properties
Abstract
Cite
Li, Guoqiang, and Ning Yang. “A Hybrid SARIMA‐LSTM Model for Air Temperature Forecasting”. Advanced Theory and Simulations, vol. 6, no. 2, 2022, https://doi.org/10.1002/adts.202200502.
Li, G., & Yang, N. (2022). A Hybrid SARIMA‐LSTM Model for Air Temperature Forecasting. Advanced Theory and Simulations, 6(2). https://doi.org/10.1002/adts.202200502
Li G, Yang N. A Hybrid SARIMA‐LSTM Model for Air Temperature Forecasting. Advanced Theory and Simulations. 2022;6(2).
Journal Category
Science
Science (General)
Refrences
Title Journal Journal Categories Citations Publication Date
Title 2021
Title 1995
Title Journal of Official Statistics
  • Social Sciences: Statistics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Social Sciences: Sociology (General)
  • Social Sciences
 1990
Title Geophysical Research Letters
  • Science: Physics: Geophysics. Cosmic physics
  • Science: Geology
  • Science: Geology
  • Science: Geology
 2022
Title 2022
Citations
Title Journal Journal Categories Citations Publication Date
Deep learning-based air pollution analysis on carbon monoxide in Taiwan Ecological Informatics
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Science: Biology (General): Ecology
  • Technology: Environmental technology. Sanitary engineering
  • Science: Biology (General): Ecology
  • Science: Biology (General): Ecology
 2024
Performance analysis of machine learning based prediction models in assessing optimal operation of microgrid under uncertainty Results in Control and Optimization 2024
A novel global average temperature prediction model——based on GM-ARIMA combination model Earth Science Informatics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Geology
  • Science: Geology
 2023
Atmosphere air temperature forecasting using the honey badger optimization algorithm: on the warmest and coldest areas of the world Engineering Applications of Computational Fluid Mechanics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
 6 2023
Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
Science: Geology1
Technology: Technology (General): Industrial engineering. Management engineering: Information technology1
Science: Biology (General): Ecology1
Technology: Environmental technology. Sanitary engineering1
Technology: Engineering (General). Civil engineering (General)1
Technology: Mechanical engineering and machinery1
Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A novel global average temperature prediction model——based on GM-ARIMA combination model and was published in 2023. The most recent citation comes from a 2024 study titled Performance analysis of machine learning based prediction models in assessing optimal operation of microgrid under uncertainty. This article reached its peak citation in 2024, with 2 citations. It has been cited in 4 different journals, 50% of which are open access. Among related journals, the Results in Control and Optimization cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year