Comprehensive Review on Data-Driven Techniques in Smart Power Grids

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Behrouz Dehkordi Khalegh; Movahednejad Homa; SHARIFI MAHDI

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Intelligent Procedures in Electrical Technology Year:2024 | Volume:15 | Issue:57 Page(s): 133-162

Download Full-Text

View:

Download:

Cites:

Information Journal Paper

Title

Comprehensive Review on Data-Driven Techniques in Smart Power Grids

Author(s)

Behrouz Dehkordi Khalegh | Movahednejad Homa | SHARIFI MAHDI | Issue Writer Certificate

Keywords

big data

data driven methods

deep learning

machine learning

smart power grid

Abstract

As a promising vision toward obtaining high reliability and better energy management, nowadays power grid is transferring to the smart grid (SG). This process is changing continuously and needs advanced methods to process big data produced by different segments. Artificial intelligence methods can offer data-driven services by extracting valuable information which is produced by meter devices and sensors in smart grids. To this end, machine learning (ML), deep learning (DL), reinforcement learning (RL), and deep reinforcement learning (DRL) can be applied. These methods are able to process huge amounts of data and propose an appropriate solution to solve power industry complex problems. In this paper, the state-of-the-art approaches based on artificial intelligence used by smart power grids for applications and data sources are investigated. Also, the role of big data in smart power grids, and its features such life cycle, and efficient services such as forecast, predictive maintenance, and fault detection are discussed.

Cites

No record.

References

No record.

Cite

APA: Copy

Behrouz Dehkordi, Khalegh, Movahednejad, Homa, & SHARIFI, MAHDI. (2024). Comprehensive Review on Data-Driven Techniques in Smart Power Grids. JOURNAL OF INTELLIGENT PROCEDURES IN ELECTRICAL TECHNOLOGY, 15(57 ), 133-162. SID. https://sid.ir/paper/1034950/en

Vancouver: Copy

Behrouz Dehkordi Khalegh, Movahednejad Homa, SHARIFI MAHDI. Comprehensive Review on Data-Driven Techniques in Smart Power Grids. JOURNAL OF INTELLIGENT PROCEDURES IN ELECTRICAL TECHNOLOGY[Internet]. 2024;15(57 ):133-162. Available from: https://sid.ir/paper/1034950/en

IEEE: Copy

Khalegh Behrouz Dehkordi, Homa Movahednejad, and MAHDI SHARIFI, “Comprehensive Review on Data-Driven Techniques in Smart Power Grids,” JOURNAL OF INTELLIGENT PROCEDURES IN ELECTRICAL TECHNOLOGY, vol. 15, no. 57 , pp. 133–162, 2024, [Online]. Available: https://sid.ir/paper/1034950/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops