small package for generating forecasts for gas tanks
Small package for generating forecasts of fuel tank demand.
clean and format sales data
clean and format tank reading data
use sales data to impute missing values in tank readings
create seasonal decomposition curves (yearly / monthly / weekly)
generate generic decomposition curves for instances of no data
create short term forecasts with generalized additive models (prophet)
create long term forecasts with ARIMA type models
define holidays and special events that effect fuel demand
This package was created with Cookiecutter
First release on PyPI.
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