FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3020772804> ?p ?o ?g. }

• W3020772804 endingPage "355" @default.
• W3020772804 startingPage "346" @default.
• W3020772804 abstract "Increased deployment of residential smart meters has made it possible to record energy consumption data on short intervals. These data, if used efficiently, carry valuable information for managing power demand and increasing energy consumption efficiency. An efficient way to analyze these data is to first identify clusters of energy consumers, and then focus on analyzing these clusters. However deciding on the optimal number of clusters is a challenging task. In this article, we propose a clustering index that effectively finds the optimal number of clusters. The proposed index is an entropy-based measure that is obtained from eigenvalue analysis of the correlation matrix of time series of consumption data. A genetic algorithm based feature selection is used to reduce the number of features, which are then fed into clustering algorithms. We apply the proposed clustering index on two ground truth synthetic data sets and two real world energy consumption data set. The numerical simulations reveal the effectiveness of the proposed method and its superiority to a number of existing clustering indices." @default.
• W3020772804 created "2020-05-01" @default.
• W3020772804 creator A5025832436 @default.
• W3020772804 creator A5030903468 @default.
• W3020772804 creator A5086420492 @default.
• W3020772804 date "2021-01-01" @default.
• W3020772804 modified "2023-10-05" @default.
• W3020772804 title "A Novel Clustering Index to Find Optimal Clusters Size With Application to Segmentation of Energy Consumers" @default.
• W3020772804 cites W1697154133 @default.
• W3020772804 cites W1974712709 @default.
• W3020772804 cites W1987971958 @default.
• W3020772804 cites W1988497044 @default.
• W3020772804 cites W1989866797 @default.
• W3020772804 cites W1997729648 @default.
• W3020772804 cites W2000990910 @default.
• W3020772804 cites W2020853694 @default.
• W3020772804 cites W2028788479 @default.
• W3020772804 cites W2051224630 @default.
• W3020772804 cites W2066384055 @default.
• W3020772804 cites W2071949631 @default.
• W3020772804 cites W2074156009 @default.
• W3020772804 cites W2085487226 @default.
• W3020772804 cites W2087327261 @default.
• W3020772804 cites W2161863692 @default.
• W3020772804 cites W2168175751 @default.
• W3020772804 cites W2183242318 @default.
• W3020772804 cites W2209508536 @default.
• W3020772804 cites W2321807518 @default.
• W3020772804 cites W2327418893 @default.
• W3020772804 cites W2416981224 @default.
• W3020772804 cites W2509045969 @default.
• W3020772804 cites W2759226252 @default.
• W3020772804 cites W2790215293 @default.
• W3020772804 cites W2795678312 @default.
• W3020772804 cites W2800454314 @default.
• W3020772804 cites W2893113448 @default.
• W3020772804 cites W2922950616 @default.
• W3020772804 cites W589554640 @default.
• W3020772804 doi "https://doi.org/10.1109/tii.2020.2987320" @default.
• W3020772804 hasPublicationYear "2021" @default.
• W3020772804 type Work @default.
• W3020772804 sameAs 3020772804 @default.
• W3020772804 citedByCount "17" @default.
• W3020772804 countsByYear W30207728042020 @default.
• W3020772804 countsByYear W30207728042021 @default.
• W3020772804 countsByYear W30207728042022 @default.
• W3020772804 countsByYear W30207728042023 @default.
• W3020772804 crossrefType "journal-article" @default.
• W3020772804 hasAuthorship W3020772804A5025832436 @default.
• W3020772804 hasAuthorship W3020772804A5030903468 @default.
• W3020772804 hasAuthorship W3020772804A5086420492 @default.
• W3020772804 hasConcept C106301342 @default.
• W3020772804 hasConcept C119599485 @default.
• W3020772804 hasConcept C121332964 @default.
• W3020772804 hasConcept C124101348 @default.
• W3020772804 hasConcept C127413603 @default.
• W3020772804 hasConcept C136764020 @default.
• W3020772804 hasConcept C149872217 @default.
• W3020772804 hasConcept C154945302 @default.
• W3020772804 hasConcept C2777382242 @default.
• W3020772804 hasConcept C2780165032 @default.
• W3020772804 hasConcept C33704608 @default.
• W3020772804 hasConcept C41008148 @default.
• W3020772804 hasConcept C62520636 @default.
• W3020772804 hasConcept C73555534 @default.
• W3020772804 hasConcept C94641424 @default.
• W3020772804 hasConceptScore W3020772804C106301342 @default.
• W3020772804 hasConceptScore W3020772804C119599485 @default.
• W3020772804 hasConceptScore W3020772804C121332964 @default.
• W3020772804 hasConceptScore W3020772804C124101348 @default.
• W3020772804 hasConceptScore W3020772804C127413603 @default.
• W3020772804 hasConceptScore W3020772804C136764020 @default.
• W3020772804 hasConceptScore W3020772804C149872217 @default.
• W3020772804 hasConceptScore W3020772804C154945302 @default.
• W3020772804 hasConceptScore W3020772804C2777382242 @default.
• W3020772804 hasConceptScore W3020772804C2780165032 @default.
• W3020772804 hasConceptScore W3020772804C33704608 @default.
• W3020772804 hasConceptScore W3020772804C41008148 @default.
• W3020772804 hasConceptScore W3020772804C62520636 @default.
• W3020772804 hasConceptScore W3020772804C73555534 @default.
• W3020772804 hasConceptScore W3020772804C94641424 @default.
• W3020772804 hasFunder F4320334704 @default.
• W3020772804 hasIssue "1" @default.
• W3020772804 hasLocation W30207728041 @default.
• W3020772804 hasOpenAccess W3020772804 @default.
• W3020772804 hasPrimaryLocation W30207728041 @default.
• W3020772804 hasRelatedWork W1536496053 @default.
• W3020772804 hasRelatedWork W1538188876 @default.
• W3020772804 hasRelatedWork W2163563073 @default.
• W3020772804 hasRelatedWork W2355328234 @default.
• W3020772804 hasRelatedWork W2949000021 @default.
• W3020772804 hasRelatedWork W2970954390 @default.
• W3020772804 hasRelatedWork W374238407 @default.
• W3020772804 hasRelatedWork W4200404937 @default.
• W3020772804 hasRelatedWork W4310575853 @default.
• W3020772804 hasRelatedWork W1491908038 @default.
• W3020772804 hasVolume "17" @default.
• W3020772804 isParatext "false" @default.

• next