A framework of nonparametric regression to predict natural gas demand

This paper investigates the use of nonparametric regression to forecast natural gas demand. The demand for natural gas is constantly rising to meet people’s daily needs. This causes natural gas capacity to dwindle day by day. The fluctuating increase in natural gas prices is one of the consequences of the current imbalance between natural gas production and consumption. This time, nonparametric regression was used to analyze the data. In this case, the nonparametric regression approach technique can be used as an alternative because its use is not tied to global assumptions. Although it does not respond quickly enough to natural gas demand, it can predict natural gas prices well by taking into account various existing factors. As a result, we require a nonparametric regression model that accurately predicts natural gas demand.