Long-term prediction enhancement based on multi-output Gaussian process regression integrated with production plans for oxygen supply network-Reference-Cited by-同舟云学术

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Long-term prediction enhancement based on multi-output Gaussian process regression integrated with production plans for oxygen supply network

Published:2022-07 Issue: Volume:163 Page:107844
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Zhou Pengwei,Xu Zuhua^ORCID,Peng Xudong,Zhao Jun,Shao Zhijiang

Funder

National Key Research and Development Program of China

Key Technology Research and Development Program of Shandong

National Natural Science Foundation of China-Zhejiang Joint Fund for the Integration of Industrialization and Informatization

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference53 articles.

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2. Description and prediction of time series: a general framework of granular computing;Al-Hmouz;Expert Syst. Appl.,2015

3. A note on the validity of cross-validation for evaluating autoregressive time series prediction;Bergmeir;Comput. Stat. Data Anal.,2018

4. Gaussian Process Regression for numerical wind speed prediction enhancement;Cai;Renew. Energ.,2020

5. Electricity price prediction based on hybrid model of adam optimized LSTM neural network and wavelet transform;Chang;Energy,2019

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