Real Life Example of Time Series Forecast - SARIMA
Step-By-Step Process that Explains How it’s Done!
In this article, we explore the world of time series and how to implement the SARIMA model to forecast seasonal data using python.
Why Natural Gas Storage Data?
The weekly natural gas storage data is a principal federal economic indicator used by the public to determine natural gas inventory levels, indicators of the balance between supply and demand in the natural gas market. According to the U.S. Energy Information Administration, upon release of the report, the natural gas market reacts to the derived net change in inventory levels from the prior week that often influences natural gas prices.
Project Pre-Requisites
We will be using the numpy, pandas, matplotlib, sklearn and statsmodels libraries to execute this project. If you don’t already have them installed on your local system, you can use the following code in command prompt:
pip install numpy
pip install pandas
pip install matplotlib
pip install -U scikit-learn
pip install statsmodels
Importing Data and Libraries
