Advanced Multivariate Time Series Forecasting Models

Article Properties
Cite
Wang, Miss Lei. “Advanced Multivariate Time Series Forecasting Models”. Journal of Mathematics and Statistics, vol. 14, no. 1, 2018, pp. 253-60, https://doi.org/10.3844/jmssp.2018.253.260.
Wang, M. L. (2018). Advanced Multivariate Time Series Forecasting Models. Journal of Mathematics and Statistics, 14(1), 253-260. https://doi.org/10.3844/jmssp.2018.253.260
Wang ML. Advanced Multivariate Time Series Forecasting Models. Journal of Mathematics and Statistics. 2018;14(1):253-60.
Citations
Title Journal Journal Categories Citations Publication Date
Comparative Analysis between Intelligent Machine Committees and Hybrid Deep Learning with Genetic Algorithms in Energy Sector Forecasting: A Case Study on Electricity Price and Wind Speed in the Brazilian Market

Energies
  • Technology
  • Technology: Environmental technology. Sanitary engineering
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Engineering (General). Civil engineering (General)
2024
High-dimensional time series analysis and anomaly detection: A case study of vehicle behavior modeling and unhealthy state detection Advanced Engineering Informatics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2 2023
A Time Series Forecast of COVID-19 Infections, Recoveries and Fatalities in Nigeria

Sustainability
  • Technology: Mechanical engineering and machinery: Renewable energy sources
  • Geography. Anthropology. Recreation: Environmental sciences
  • Geography. Anthropology. Recreation: Environmental sciences
  • Geography. Anthropology. Recreation: Environmental sciences
  • Technology: Environmental technology. Sanitary engineering
  • Science: Biology (General): Ecology
2023
Dynamic Model of Water Quality Evolution Journal of Water Chemistry and Technology
  • Science: Chemistry
  • Science: Chemistry: Analytical chemistry
  • Science: Chemistry: Physical and theoretical chemistry
  • Science: Chemistry
2022
Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management International Journal of Information Management
  • Bibliography. Library science. Information resources
  • Bibliography. Library science. Information resources: Information resources (General)
  • Social Sciences
162 2021
Citations Analysis
The category Technology: Environmental technology. Sanitary engineering 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Principal Component Analysis for Weighted Data in the Procedure of Multidimensional Statistical Forecasting and was published in 2021. The most recent citation comes from a 2024 study titled Comparative Analysis between Intelligent Machine Committees and Hybrid Deep Learning with Genetic Algorithms in Energy Sector Forecasting: A Case Study on Electricity Price and Wind Speed in the Brazilian Market. This article reached its peak citation in 2023, with 2 citations. It has been cited in 6 different journals, 33% of which are open access. Among related journals, the Energies 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