An innovative information accumulation multivariable grey model and its application in China's renewable energy generation forecasting-Reference-Cited by-同舟云学术

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An innovative information accumulation multivariable grey model and its application in China's renewable energy generation forecasting

Published:2024-10 Issue: Volume:252 Page:124130
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Ren Youyang,Wang Yuhong^ORCID,Xia Lin,Wu Dongdong^ORCID

Publisher

Elsevier BV

Reference60 articles.

1. TLIA: Time-series forecasting model using long short-term memory integrated with artificial neural networks for volatile energy markets;Al-Alimi;Applied Energy,2023

2. A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids;Aslam;Renewable & Sustainable Energy Reviews,2021

3. Renewable energy generation forecasting in Turkey via intuitionistic fuzzy time series approach;Cakir;Renewable Energy,2023

4. Dynamic time scan forecasting for multi-step wind speed prediction;Costa;Renewable Energy,2021

5. Beta autoregressive moving average model selection with application to modeling and forecasting stored hydroelectric energy;Cribari-Neto;International Journal of Forecasting,2023

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