Research on the Prediction Mechanism of Fuel Quantity of Gas Turbine Power Plant Based on Stochastic Forest Algorithm

The fuel consumption of the gas turbine power plant is huge. If there is no management, it is likely to bring huge economic losses, and it is also easy to cause the power generation of the gas turbine power plant to fall into the situation of insufficient fuel. In order to avoid this situation, this paper will study the prediction mechanism of fuel quantity of gas turbine power plant based on stochastic forest algorithm. In the study, the basic concept and application advantages of stochastic forest algorithm are introduced first, then the construction method of fuel quantity prediction mechanism is proposed, and finally, the prediction verification is carried out. Through research, relying on the stochastic forest algorithm can help the gas turbine power plant to predict the fuel quantity, and the results are accurate, which is convenient for the power plant to make fuel quantity management decisions in advance.