The DOI matches its Crossref record; 113 of the 113 references it cites were found in a registry or an index.
Integration of energy storage system and renewable energy sources based on artificial intelligence: An overview
Abstract
Abstract Energy storage technology plays a role in improving new energy consumption capacities, ensuring the stable and economic operation of power systems, and promoting the widespread application of renewable energy technologies. Several new developments, ideas, approaches, and technologies have been introduced into this area from fields including materials, knowledge manage, electricity, control, and artificial intelligence. Based on the technical characteristics of renewable energy, this study reviews the roles, classifications, design optimisation methods, and applications of energy storage systems in power systems. First, we introduce the different types of energy storage technologies and applications, e.g. for utility-based power generation, transportation, heating, and cooling. Second, we briefly introduce the states of an energy storage system, along with its operation processes and energy storage capacity. Third, a comprehensive review is conducted on artificial intelligence applications in regards to optimisation system configuration, and energy control strategy, along with the applicability of different energy storage technologies. Finally, several issues and insights are discussed, offering new inspiration and concepts for the future study of integrated energy storage systems.
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Cites
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A review of energy storage types, applications and recent developments
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Cited by
Liu, Z., Sun, Y., Xing, C., Liu, J., He, Y., Zhou, Y., & Zhang, G. (2022) · Energy and AI · doi:10.1016/j.egyai.2022.100195 · Cited by 288
Green building practices to integrate renewable energy in the construction sector: a review
Chen, L., Hu, Y., Wang, R., Li, X., Chen, Z., Hua, J., Osman, A. I., Farghali, M., Huang, L., Li, J., et al. (2024) · Environmental Chemistry Letters · doi:10.1007/s10311-023-01675-2 · Cited by 280
Bin Abu Sofian, A. D. A., Lim, H. R., Siti Halimatul Munawaroh, H., Ma, Z., Chew, K. W., & Show, P. L. (2024) · Sustainable Development · doi:10.1002/sd.2885 · Cited by 270
Metadata
- Authors
- Abdalla, A. N., Nazir, M. S., Tao, H., Cao, S., Ji, R., Jiang, M., & Yao, L.
- Venue
- Journal of Energy Storage
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 40
- Pages
- 102811
- ISSN
- 2352-152X (ISSN-L)
- OpenAlex
- W3176088770
- Cited by
- 406
- References
- 113
- FWCI
- 15.24
- Type
- journal article
- Language
- en
- Open access
- closed
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- Abdalla, A. N., Nazir, M. S., Tao, H., Cao, S., Ji, R., Jiang, M., & Yao, L. (2021). Integration of energy storage system and renewable energy sources based on artificial intelligence: An overview. Journal of Energy Storage. https://doi.org/10.1016/j.est.2021.102811
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.
