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Forecasting US Natural Gas Consumption by f20221603 is a document available to read on EtoBox.

The document presents a project focused on forecasting annual natural gas consumption in the USA using machine learning techniques such as Artificial Neural Networks (ANN), Support Vector Machines (SVM), and Multiple Linear Regression (MLR). It discusses the methodology, data collection, and analysis of various influencing factors from 1980 to 2020, ultimately concluding that the ANN model provided the most accurate predictions for future consumption trends. The findings suggest a gradual increase in natura

Author

f20221603

Language

EN