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  3. Volume 3, Number 1, 2021
  4. System for Analysis, Research and Forecast of Events in Discrete Time Data Sequences

System for Analysis, Research and Forecast of Events in Discrete Time Data Sequences

CDS.
2021;
Volume 3, Number 1
: pp. 61 - 66
https://doi.org/10.23939/cds2021.01.061
Authors:
  1. I. Farmaha
  2. V. Hadomskyi
1
Lviv Polytechnic National University
2
Lviv Polytechnic National University

This paper is devoted develop software for time series forecasting using Python programming language. SARIMA model was used to develop the system.

python
SARIMA model
time series
time series forecast
AWS
AWS Lambda
  1. Часовий ряд [Електронний ресурс] - Режим доступу до ресурсу https://uk.wikipedia.org/wiki/ Часовий_ряд
  2. R. J. Hyndman, G. Athanasopoulos. Forecasting: principles and practice. Otexts.com. 2013. -p. 242.
  3. P. S.P Cowpertwait, A. V. Metcalfe. Intoductory Time Series with R (Use R!). Springer. 2009. -p. 142.
  4. P. S.P Cowpertwait, A. V. Metcalfe. Intoductory Time Series with R (Use R!). Springer. 2009. -p. 143-144
  5. Statsmodels [Електронний ресурс] - Режим доступу до ресурсу: https://www.statsmodels.org/stable/index.html