Time Series Forecasting for Non-stationary Data-Reference-Cited by-同舟云学术

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Time Series Forecasting for Non-stationary Data

Published:2020-06-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 3rd Asia Pacific Conference on Research in Industrial and Systems Engineering 2020
language:
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Author:

Kalinggo Bonnie Alexandra¹,Zulkarnain ¹

Affiliation:

1. Department of Industrial Engineering, Universitas Indonesia, Depok, Indonesia

Publisher

ACM

Reference26 articles.

1. Smithers. 2019. Four key trends that will shape the future of packaging to 2028. Available at https://www.smithers.com/resources/2019/feb/future-packaging-trends-2018-to-2028 Accessed on October 21 2019. Smithers. 2019. Four key trends that will shape the future of packaging to 2028. Available at https://www.smithers.com/resources/2019/feb/future-packaging-trends-2018-to-2028 Accessed on October 21 2019.

2. Lizelle van Rooyen. 2016. Unwrapping the packaging industry. Kagiso Asset Management (Pty) Limited Cape Town. Lizelle van Rooyen. 2016. Unwrapping the packaging industry. Kagiso Asset Management (Pty) Limited Cape Town.

3. Price dynamics of crude oil and the regional ethylene markets

4. Production, use, and fate of all plastics ever made

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Study of LSTM Optimisation for Forecasting Volatile Time Series Data;2024 4th International Conference on Computer Communication and Artificial Intelligence (CCAI);2024-05-24

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