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Time Series Smoothing Improving Forecasting

Applied Computer Systems
Volume 26 (2021): Issue 1 (May 2021)
By:
Open Access
|Jun 2021

Authors

Vadim Romanuke

ORCID

romanukevadimv@gmail.com

Polish Naval Academy, Gdynia, Poland
DOI: https://doi.org/10.2478/acss-2021-0008 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 60 - 70
Published on: Jun 4, 2021
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
Keywords:
Autoregressive integrated moving average (ARIMA),
downsampling,
forecasting accuracy,
long short-term memory (LSTM),
maximum absolute error (MaxAE),
root-mean-square error (RMSE),
smoothing,
time series forecasting
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2021 Vadim Romanuke, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

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