Cargando…
Forecasting Natural Gas Prices Using Wavelets, Time Series, and Artificial Neural Networks
Following the unconventional gas revolution, the forecasting of natural gas prices has become increasingly important because the association of these prices with those of crude oil has weakened. With this as motivation, we propose some modified hybrid models in which various combinations of the wave...
Autores principales: | Jin, Junghwan, Kim, Jinsoo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635006/ https://www.ncbi.nlm.nih.gov/pubmed/26539722 http://dx.doi.org/10.1371/journal.pone.0142064 |
Ejemplares similares
-
Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models
por: Shahvaroughi Farahani, Milad, et al.
Publicado: (2021) -
Wavelet gated multiformer for groundwater time series forecasting
por: Serravalle Reis Rodrigues, Vitor Hugo, et al.
Publicado: (2023) -
Forecasting oil, coal, and natural gas prices in the pre-and post-COVID scenarios: Contextual evidence from India using time series forecasting tools
por: Alam, Md Shabbir, et al.
Publicado: (2023) -
Forecasting Bitcoin closing price series using linear regression and neural networks models
por: Uras, Nicola, et al.
Publicado: (2020) -
Neural Networks for Financial Time Series Forecasting
por: Sako, Kady, et al.
Publicado: (2022)