Big Data Optimization in Electric Power Systems: A Review

Rahimi, Iman; Ahmadi, Abdollah; Zobaa, Ahmed F.; Emrouznejad, Ali; Aleem, Shady H. E. Abdel

doi:10.1201/9781315105499-4

Cited by 6 publications

(2 citation statements)

References 49 publications

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“…[187]. Recently, this field of analysis has attracted much attention from researchers and has been used in various literature review fields [4,[188][189][190][191][192]. To achieve this aim, VOSviewer 1.6.17 [24] and CitNetExplorer 1.0.0 [25] were employed in this work.…”

Section: Scientometric Analysismentioning

confidence: 99%

Scheduling by NSGA-II: Review and Bibliometric Analysis

et al. 2022

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NSGA-II is an evolutionary multi-objective optimization algorithm that has been applied to a wide variety of search and optimization problems since its publication in 2000. This study presents a review and bibliometric analysis of numerous NSGA-II adaptations in addressing scheduling problems. This paper is divided into two parts. The first part discusses the main ideas of scheduling and different evolutionary computation methods for scheduling and provides a review of different scheduling problems, such as production and personnel scheduling. Moreover, a brief comparison of different evolutionary multi-objective optimization algorithms is provided, followed by a summary of state-of-the-art works on the application of NSGA-II in scheduling. The next part presents a detailed bibliometric analysis focusing on NSGA-II for scheduling applications obtained from the Scopus and Web of Science (WoS) databases based on keyword and network analyses that were conducted to identify the most interesting subject fields. Additionally, several criteria are recognized which may advise scholars to find key gaps in the field and develop new approaches in future works. The final sections present a summary and aims for future studies, along with conclusions and a discussion.

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Section: Scientometric Analysismentioning

confidence: 99%

Scheduling by NSGA-II: Review and Bibliometric Analysis

et al. 2022

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“…Modern power companies are utilizing both traditional and renewable energy resources to generate electricity [13,14]. This paper presents a Scientometric analysis for articles in the area of renewable scheduling which have been published from 2000 to 2017, for this aim, VOSviewer as a scientific tool has been used [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Scientometric Analysis of Scheduling in Renewable Energy: A Keyword and Citation Analysis

Rahimi¹,

Behmanesh²,

Ahmadi³

2019

jept

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The aim of this paper is the scientometric analysis of articles on "scheduling in renewable energy" that have been published between 2000 and 2017. For this purpose, the terms "scheduling in renewable energy" and "unit commitment in renewable energy" have been searched. We have found 1009 articles in the Scopus database which include the terms mentioned above. VOSviewer and CiteSpace, as two well-known the scientometric analysis tools, have been used. Keywords analysis and citation analysis are two analysis methods that have been used in this paper. China and the US are two countries with a high contribution to this topic among other countries. Two methods of counting, including full counting and fractional counting, have been applied. Citation analysis based on countries, document, source, author, and organization have been addressed, and results have been presented. Coauthorship and co-citation analysis also have been shown. IEEE Transactions journals have the most activity in published articles on the topic, while Energy and Engineering are two subjects with the most documents. The remaining part of the paper has focused on citation analysis and co-citation analysis based on authors, documents, sources, countries, organizations, and references.

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A Bibliometric Analysis on Optimization Solution Methods Applied to Supply Chain of Solar Energy

Rahimi

Nematian

2022

Arch Computat Methods Eng

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Big Data Optimization in Electric Power Systems: A Review

Cited by 6 publications

References 49 publications

Scheduling by NSGA-II: Review and Bibliometric Analysis

Scheduling by NSGA-II: Review and Bibliometric Analysis

Scientometric Analysis of Scheduling in Renewable Energy: A Keyword and Citation Analysis

A Bibliometric Analysis on Optimization Solution Methods Applied to Supply Chain of Solar Energy

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