Energy storage technologies and real life applications – A state of the art review
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In the future, the buffer role is expected to be played by energy storage technologies such as batteries, pumped hydro, or power-to-gas.
“In the future, this role is expected to be played by Fig. 1.Selected opportunities to reduce GHG emissions from electricity systems using ML, as described in Section 2. energy storage technologies such as batteries (Section 3.3), pumped hydro, or power-to-gas [226]; see [27] for an overview.”
From Tackling climate change with machine learning (2023) · cites this paper as [27]
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- Authors
- Aneke, M., & Wang, M.
- Affiliations
- University of Hull (GB)
- Corresponding author
- Wang, Meihong
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2016-10
- Volume
- 179
- Pages
- 350-377
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2461617884
- Cited by
- 1,754
- References
- 76
- Citations by year
- 2026: 123 · 2025: 210 · 2024: 204 · 2023: 192 · 2022: 206 · 2021: 177 · 2020: 218 · 2019: 184 · 2018: 156 · 2017: 75 · 2016: 9
- FWCI
- 59.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Applied Energy (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Engineering and Physical Sciences Research Council (EP/L017725/1)
- Topics
- Physical Sciences › Energy › Energy Engineering and Power Technology › Power Systems and Renewable Energy
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
- Physical Sciences › Energy › Energy Engineering and Power Technology › Hybrid Renewable Energy Systems
- Keywords
- energy storage systems, real-world applications, grid stability, renewable energy integration, electricity storage, thermal energy storage, technology maturity
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