The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Big Data management in smart grid: concepts, requirements and implementation
Open accessAbstract
A smart grid is an intelligent electricity grid that optimizes the generation, distribution and consumption of electricity through the introduction of Information and Communication Technologies on the electricity grid. In essence, smart grids bring profound changes in the information systems that drive them: new information flows coming from the electricity grid, new players such as decentralized producers of renewable energies, new uses such as electric vehicles and connected houses and new communicating equipments such as smart meters, sensors and remote control points. All this will cause a deluge of data that the energy companies will have to face. Big Data technologies offers suitable solutions for utilities, but the decision about which Big Data technology to use is critical. In this paper, we provide an overview of data management for smart grids, summarise the added value of Big Data technologies for this kind of data, and discuss the technical requirements, the tools and the main steps to implement Big Data solutions in the smart grid context.
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Citations
Cites
Chen, M., Mao, S., & Liu, Y. (2014) · Mobile Networks and Applications · doi:10.1007/s11036-013-0489-0 · Cited by 2,913
Demand response and smart grids – a survey
Siano, P. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.10.022 · Cited by 2,411
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Machine learning driven smart electric power systems: Current trends and new perspectives
Ibrahim, M. S., Dong, W., & Yang, Q. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115237 · Cited by 435
Using the internet of things in smart energy systems and networks
Ahmad, T., & Zhang, D. (2021) · Sustainable Cities and Society · doi:10.1016/j.scs.2021.102783 · Cited by 332
IoT-enabled smart grid via SM: An overview
Al-Turjman, F., & Abujubbeh, M. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.02.012 · Cited by 319
Farsi, B., Amayri, M., Bouguila, N., & Eicker, U. (2021) · IEEE Access · doi:10.1109/access.2021.3060290 · Cited by 292
Metadata
- Authors
- Daki, H., El Hannani, A., Aqqal, A., Haidine, A., & Dahbi, A.
- Venue
- Journal of Big Data
- Published
- 2017-04-28
- Volume
- 4
- Issue
- 1
- ISSN
- 2196-1115 (ISSN-L)
- OpenAlex
- W2608888380
- Cited by
- 219
- References
- 2
- FWCI
- 8.84
- Type
- journal article
- Language
- en
- Open access
- gold
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- Daki, H., El Hannani, A., Aqqal, A., Haidine, A., & Dahbi, A. (2017). Big Data management in smart grid: concepts, requirements and implementation. Journal of Big Data. https://doi.org/10.1186/s40537-017-0070-y
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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.
