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Cited by 911

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Energy storage systems: a review

Open access
Mitali, J., Dhinakaran, S., Mohamad, A.A.·2022·Energy Storage and Saving

Abstract

The world is rapidly adopting renewable energy alternatives at a remarkable rate to address the ever-increasing environmental crisis of CO2 emissions. Renewable energy system offers enormous potential to decarbonize the environment because they produce no greenhouse gases or other polluting emissions. However, the RES relies on natural resources for energy generation, such as sunlight, wind, water, geothermal, which are generally unpredictable and reliant on weather, season, and year. To account for these intermittencies, renewable energy can be stored using various techniques and then used in a consistent and controlled manner as needed. Several researchers from around the world have made substantial contributions over the last century to developing novel methods of energy storage that are efficient enough to meet increasing energy demand and technological breakthroughs. This review attempts to provide a critical review of the advancements in the energy storage system from 1850–2022, including its evolution, classification, operating principles and comparison.

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Crossref · 10.1016/j.enss.2022.07.002

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Metadata

Authors
Mitali, J., Dhinakaran, S., & Mohamad, A. A.
Venue
Energy Storage and Saving
Publisher
Elsevier BV
Published
2022-09
Volume
1
Issue
3
Pages
166-216
ISSN
2772-6835 (ISSN-L)
OpenAlex
W4285405215
Cited by
911
References
7
FWCI
33.01
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Energy storage systems: a review. https://app.cochat.ai/papers/10.1016/j.enss.2022.07.002
The paper
Mitali, J., Dhinakaran, S., & Mohamad, A. A. (2022). Energy storage systems: a review. Energy Storage and Saving. https://doi.org/10.1016/j.enss.2022.07.002

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.