A reliable hybrid autoregressive integrated moving average and deep reinforcement machine learning strategy for resiliency enhancement in microgrid-Reference-Cited by-同舟云学术

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A reliable hybrid autoregressive integrated moving average and deep reinforcement machine learning strategy for resiliency enhancement in microgrid

Published:2024-09 Issue: Volume:39 Page:101424
ISSN:2352-4677
Container-title:Sustainable Energy, Grids and Networks
language:en
Short-container-title:Sustainable Energy, Grids and Networks

Author:

Kumar Deepak,Kumar Anil

Publisher

Elsevier BV

Reference33 articles.

1. A distributed robust control strategy for electric vehicles to enhance resilience in urban energy systems;Dong;Adv. Appl. Energy,2023

2. Optimization method of skeleton network partitioning scheme considering resilience active improvement in power system restoration after typhoon passes through;Li;Int. J. Electr. Power Energy Syst.,2023

3. A resilience-based recovery scheme for smart grid restoration following cyberattacks to substations;Rahiminejad;Int. J. Electr. Power Energy Syst.,2023

4. Microgrids and Resilience: A Review;Hamidieh;IEEE Access,2022

5. A new concept of a thermal network for energy resilience in mountain communities powered by renewable sources;Pompei;Sustain. Energy, Grids Netw.,2023

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