Forecasting time series data is an important subject in economics, business, and finance. Traditionally, there are several techniques to effectively forecast the next lag of time series data such as ...

This project reproduces the experiments and figures from the accompanying paper on interpretable time-series forecasting. We use the AirPassengers dataset (1949–1960) and compare ARIMA with a ...

A Study of time series prediction of enterprise energy consumption using ARIMA model in this paper. The data from a coal washing plants from January 2011 to February 2013. Forecasting the power ...