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Natural gas spot price prediction research under the background of Russia-Ukraine conflict - based on FS-GA-SVR hybrid model
13 references·1 citing·49 second hop
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References

  • 2022Impact of Russian-Ukraine war on clean energy, conventional energy, and metal markets: Evidence from event study approach334 cited
  • 2022Role of hydroelectricity and natural gas consumption on environmental sustainability in the United States: Evidence from novel time-frequency approaches162 cited
  • 2023Asymmetric effects of geopolitical risks and uncertainties on green bond markets151 cited
  • 2019Long-term forecast of energy commodities price using machine learning151 cited
  • 2022The causal relationship between green finance and geopolitical risk: Implications for environmental management149 cited
  • 2017Short-term forecasting of natural gas prices using machine learning and feature selection algorithms98 cited
  • 2023Fintech, macroprudential policies and bank risk: Evidence from China91 cited
  • 2019Financialization, fundamentals, and the time-varying determinants of US natural gas prices88 cited
  • 2019Data-Driven Natural Gas Spot Price Forecasting with Least Squares Regression Boosting Algorithm84 cited
  • 2019Data Driven Natural Gas Spot Price Prediction Models Using Machine Learning Methods66 cited
  • 2013Forecasting natural gas spot prices with nonlinear modeling using Gamma test analysis64 cited
  • 2022Implications of clean energy, oil and emissions pricing for the GCC energy sector stock60 cited
  • 2023Forecasting oil, coal, and natural gas prices in the pre-and post-COVID scenarios: Contextual evidence from India using time series forecasting tools

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  • 2025Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps33 cited