A novel local grey model considering fluctuation based on kernel function for energy production prediction-Reference-Cited by-同舟云学术

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A novel local grey model considering fluctuation based on kernel function for energy production prediction

Published:2024-05 Issue: Volume:454 Page:142336
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Li Kailing,Xiong Pingping,Huang Xinyan,Dong Yan

Funder

National Office for Philosophy and Social Sciences

Major Project of Philosophy and Social Science Research in Colleges and Universities of Jiangsu Province

Major Program of National Fund of Philosophy and Social Science of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference45 articles.

1. PV-Net: An innovative deep learning approach for efficient forecasting of short-term photovoltaic energy production;Abdel-Basset;J. Clean. Prod.,2021

2. The short- and long-run efficiency of energy, precious metals, and base metals markets: Evidence from the exponential smooth transition autoregressive models;Cagli;Energy Econ.,2019

3. Short-term prediction of COVID-19 spread using grey rolling model optimized by particle swarm optimization;Ceylan;Appl. Soft Comput.,2021

4. Performance prediction for a fuel cell air compressor based on the combination of backpropagation neural network optimized by genetic algorithm (GA-BP) and support vector machine (SVM) algorithms;Ding;Therm. Sci. Eng. Prog.,2023

5. Advanced optimization methods and big data applications in energy demand forecast;Divina;Appl. Sci.,2021

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