RETRACTED: Natural gas price prediction based on artificial intelligence models.

ABSTRACT: The natural gas supply crisis triggered by the Russia-Ukraine conflict has laid bare the energy market's extreme vulnerability in the face of geopolitical risk, highlighting the need for accurate multi-step gas price forecasting. However, most AI-based energy price studies have a gap: they focus on single-step prediction or homogeneous model comparisons, lacking analysis of performance degradation in multi-step dynamic frameworks. This study takes daily natural gas price data from the Henry Hub in the United States from 1997 to 2024 as the research object, constructs a multi-step prediction framework with a step size ranging from 1 to 4 days, and systematically compares the prediction performances of four artificial intelligence models: feedforward neural network, support vector machine, r

SUBMITTER: Liu X 

PROVIDER: S-EPMC12668636 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature