FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2993122850> ?p ?o ?g. }

• W2993122850 endingPage "175888" @default.
• W2993122850 startingPage "175879" @default.
• W2993122850 abstract "Notice of Violation of IEEE Publication Principles <br><br> “User Power Interaction Behavior Clustering Analysis That is Based on the Self- Organizing-Center K-Means Algorithm” <br> by Shiyu Zhang and Shaoyun Ge <br> in IEEE Access, Volume 7, December 2019 <br><br> After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE’s Publication Principles. <br><br> This paper translated and copied content from the original content from the paper cited below. The original content was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission. <br><br> Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article: <br><br> “Clustering Analysis of User Power Interaction Behavior Based on Self-organizing Center K-means Algorithm” <br> by Bingyu Zhou, Bo Liu，Dan Wang，Yu Lan，Xiran Ma，Dongdong Sun, Qiuyi Huo <br> in Electric Power Construction, Vol 40, No 1, January 2019 <br><br> <br/> The participation of power users in grid-side interactive power and auxiliary services has attracted increasing attention. The analysis of users' interaction power behaviors is a core task. By combining the self-organizing map (SOM) neural network and the K-means clustering algorithm, a self-organizing-center K-means algorithm is developed in this paper for conducting a cluster analysis of users' interaction electricity consumption behaviors. This approach can realize more accurate recognition and fast clustering. First, the principle of K-means algorithm in the self-organizing center is analyzed, and its advantages in the clustering analysis of electricity consumption over the traditional clustering algorithm are demonstrated. Then, in the context of peak-to-valley time-of-use electricity pricing, the adjustment potential index, which is based on user psychology, is developed, and a cluster analysis of users' electricity consumption behaviors that is based on load data and the adjustment potential index is conducted. Finally, the daily load data of users within the jurisdiction of a power company are studied, and the two-stage clustering results that are obtained via the self-organizing-center K-means algorithm are compared with the clustering results that are obtained via the K-means algorithm, which demonstrates the advantages of the self-organizing-center K-means algorithm that is based on the adjustment potential index in the accurate recognition and accurate clustering of users." @default.
• W2993122850 created "2019-12-13" @default.
• W2993122850 creator A5042444292 @default.
• W2993122850 creator A5057115300 @default.
• W2993122850 date "2019-01-01" @default.
• W2993122850 modified "2023-10-05" @default.
• W2993122850 title "Notice of Violation of IEEE Publication Principles: User Power Interaction Behavior Clustering Analysis That is Based on the Self-Organizing-Center K-Means Algorithm" @default.
• W2993122850 cites W2209508536 @default.
• W2993122850 cites W2545760295 @default.
• W2993122850 cites W2789548662 @default.
• W2993122850 doi "https://doi.org/10.1109/access.2019.2957922" @default.
• W2993122850 hasPublicationYear "2019" @default.
• W2993122850 type Work @default.
• W2993122850 sameAs 2993122850 @default.
• W2993122850 citedByCount "6" @default.
• W2993122850 countsByYear W29931228502020 @default.
• W2993122850 countsByYear W29931228502021 @default.
• W2993122850 countsByYear W29931228502022 @default.
• W2993122850 crossrefType "journal-article" @default.
• W2993122850 hasAuthorship W2993122850A5042444292 @default.
• W2993122850 hasAuthorship W2993122850A5057115300 @default.
• W2993122850 hasBestOaLocation W29931228501 @default.
• W2993122850 hasConcept C111168008 @default.
• W2993122850 hasConcept C11413529 @default.
• W2993122850 hasConcept C124101348 @default.
• W2993122850 hasConcept C154945302 @default.
• W2993122850 hasConcept C164866538 @default.
• W2993122850 hasConcept C17744445 @default.
• W2993122850 hasConcept C185592680 @default.
• W2993122850 hasConcept C199539241 @default.
• W2993122850 hasConcept C207968372 @default.
• W2993122850 hasConcept C23123220 @default.
• W2993122850 hasConcept C2779089604 @default.
• W2993122850 hasConcept C2779463800 @default.
• W2993122850 hasConcept C2779913896 @default.
• W2993122850 hasConcept C31258907 @default.
• W2993122850 hasConcept C41008148 @default.
• W2993122850 hasConcept C73555534 @default.
• W2993122850 hasConcept C77088390 @default.
• W2993122850 hasConcept C8010536 @default.
• W2993122850 hasConceptScore W2993122850C111168008 @default.
• W2993122850 hasConceptScore W2993122850C11413529 @default.
• W2993122850 hasConceptScore W2993122850C124101348 @default.
• W2993122850 hasConceptScore W2993122850C154945302 @default.
• W2993122850 hasConceptScore W2993122850C164866538 @default.
• W2993122850 hasConceptScore W2993122850C17744445 @default.
• W2993122850 hasConceptScore W2993122850C185592680 @default.
• W2993122850 hasConceptScore W2993122850C199539241 @default.
• W2993122850 hasConceptScore W2993122850C207968372 @default.
• W2993122850 hasConceptScore W2993122850C23123220 @default.
• W2993122850 hasConceptScore W2993122850C2779089604 @default.
• W2993122850 hasConceptScore W2993122850C2779463800 @default.
• W2993122850 hasConceptScore W2993122850C2779913896 @default.
• W2993122850 hasConceptScore W2993122850C31258907 @default.
• W2993122850 hasConceptScore W2993122850C41008148 @default.
• W2993122850 hasConceptScore W2993122850C73555534 @default.
• W2993122850 hasConceptScore W2993122850C77088390 @default.
• W2993122850 hasConceptScore W2993122850C8010536 @default.
• W2993122850 hasLocation W29931228501 @default.
• W2993122850 hasOpenAccess W2993122850 @default.
• W2993122850 hasPrimaryLocation W29931228501 @default.
• W2993122850 hasRelatedWork W2137873534 @default.
• W2993122850 hasRelatedWork W2170083822 @default.
• W2993122850 hasRelatedWork W2361925972 @default.
• W2993122850 hasRelatedWork W2376461023 @default.
• W2993122850 hasRelatedWork W2380798983 @default.
• W2993122850 hasRelatedWork W2781999953 @default.
• W2993122850 hasRelatedWork W2888523397 @default.
• W2993122850 hasRelatedWork W2994045167 @default.
• W2993122850 hasRelatedWork W3097684051 @default.
• W2993122850 hasRelatedWork W4237337822 @default.
• W2993122850 hasVolume "7" @default.
• W2993122850 isParatext "false" @default.
• W2993122850 isRetracted "false" @default.
• W2993122850 magId "2993122850" @default.
• W2993122850 workType "article" @default.