Rolling discrete grey periodic power model with interaction effect under dual processing and its application-Reference-Cited by-同舟云学术

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Rolling discrete grey periodic power model with interaction effect under dual processing and its application

Published:2024-11 Issue: Volume:254 Page:124487
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Luo Dang,Li Liangshuai^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference64 articles.

1. Using machine learning tools for forecasting natural gas consumption in the province of Istanbul;Beyca;Energy Economics,2019

2. A comparative assessment of SARIMA, LSTM RNN and Fb prophet models to forecast total and peak monthly energy demand for India;Chaturvedi;Energy Policy,2022

3. A novel grey seasonal model for natural gas production forecasting;Chen;Fractal and Fractional,2023

4. Machine learning-based estimation of ground-level NO2 concentrations over China;Chi;Science of the Total Environment,2022

5. VAR-tree model based spatio-temporal characterization and prediction of O3 concentration in China;Dai;Ecotoxicology and environmental safety,2023

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