Fractional-order transfer Q-learning based on modal decomposition and convolutional neural networks for voltage control of smart grids-Reference-Cited by-同舟云学术

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Fractional-order transfer Q-learning based on modal decomposition and convolutional neural networks for voltage control of smart grids

Published:2024-10 Issue: Volume:62 Page:102602
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Yin Linfei^ORCID,Mo Nan

Publisher

Elsevier BV

Reference51 articles.

1. AI-enabled and multimodal data driven smart health monitoring of wind power systems: A case study;Zhao;Adv. Eng. Inf.,2023

2. Health assessment of wind turbine gearbox via parallel ensemble and fuzzy derivation collaboration approach;Jiang;Adv. Eng. Inf.,2024

3. RCVNet: A bird damage identification network for power towers based on fusion of RF images and visual images;Gao;Adv. Eng. Inf.,2023

4. Integrated optimization design and motion control of multi-configuration unmanned metamorphic vehicle;Liu;Adv. Eng. Inf.,2024

5. Optimal voltage regulation via hybrid power compensation in High-PV-Penetration ADN;Zhang;IEEE Trans. Ind. Inf.,2024

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