Artificial intelligence and machine learning applications in energy storage system: technology overview and perspectives-Reference-Cited by-同舟云学术

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Artificial intelligence and machine learning applications in energy storage system: technology overview and perspectives

Published:2023 Issue: Volume: Page:1-26
ISSN:
Container-title:Emerging Trends in Energy Storage Systems and Industrial Applications
language:
Short-container-title:

Author:

Kumar Nayan,Prabhansu

Publisher

Elsevier

Reference81 articles.

1. Energy storage systems for transport and grid applications;Vazquez;IEEE Trans. Ind. Electron.,2010

2. Energy storage systems for automotive applications;Lukic;IEEE Trans. Ind. Electron.,2008

3. Review on distributed energy storage systems for utility applications;Chang;CPSS Trans. Power Electron. Appl.,2017

4. Battery Energy storage, IEA, available at: https://www.iea.org/reports/the-covid-19-crisis-and-clean-energy-progress/energy-integration.

5. Critical review of energy storage systems;Olabi;Energy,2021

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2. Advancing horizons in vegetable cultivation: a journey from ageold practices to high-tech greenhouse cultivation—a review;Frontiers in Plant Science;2024-04-15

3. Energy storage techniques, applications, and recent trends: A sustainable solution for power storage;MRS Energy & Sustainability;2023-09-19

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