FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4280494160> ?p ?o ?g. }

• W4280494160 endingPage "11" @default.
• W4280494160 startingPage "1" @default.
• W4280494160 abstract "The objectives are to explore the effect of a random forest algorithm on the state prediction and fault classification of smart meters, so that the smart meters can run more stably. Based on the principle of the random forest algorithm and Light Gradient Boosting Machine (LightGBM) algorithm, its theoretical basis and application are deeply analyzed and improved. An improved fault classification and state prediction model of smart meters is designed based on a random forest-improved LightGBM algorithm. The built model algorithm is evaluated by utilizing public data sets. The results show that, by preprocessing the fault data set of smart meters, 8 fault feature types including fault type, working time, and fault month are obtained. When the improved LightGBM algorithm is trained based on random forest, the average accuracy of the algorithm is 67.65%, the average recall rate is 64.11%, and the average F1 value is 65.73%. Meanwhile, the difference between the algorithm and the random forest algorithm and the Correlation-based Feature Selection (CFS) algorithm is studied. Therefore, the prediction accuracy and fault classification of the constructed model algorithm for smart meters are higher than those of the other two algorithms. It indicates that the algorithm has a good application effect and high practical application value and can provide a scientific and useful reference for the follow-up research of smart meters." @default.
• W4280494160 created "2022-05-22" @default.
• W4280494160 creator A5003122888 @default.
• W4280494160 creator A5009834694 @default.
• W4280494160 creator A5013200620 @default.
• W4280494160 creator A5030932349 @default.
• W4280494160 creator A5056870829 @default.
• W4280494160 creator A5089913503 @default.
• W4280494160 date "2022-05-11" @default.
• W4280494160 modified "2023-09-30" @default.
• W4280494160 title "Status Forecast and Fault Classification of Smart Meters Using LightGBM Algorithm Improved by Random Forest" @default.
• W4280494160 cites W2589575667 @default.
• W4280494160 cites W2594057365 @default.
• W4280494160 cites W2743942979 @default.
• W4280494160 cites W2759373267 @default.
• W4280494160 cites W2768921697 @default.
• W4280494160 cites W2782203135 @default.
• W4280494160 cites W2786918196 @default.
• W4280494160 cites W2789290512 @default.
• W4280494160 cites W2793167154 @default.
• W4280494160 cites W2794955806 @default.
• W4280494160 cites W2795835914 @default.
• W4280494160 cites W2800068660 @default.
• W4280494160 cites W2800567623 @default.
• W4280494160 cites W2800759180 @default.
• W4280494160 cites W2805531306 @default.
• W4280494160 cites W2896727370 @default.
• W4280494160 cites W2906922093 @default.
• W4280494160 cites W2909508023 @default.
• W4280494160 cites W2909728654 @default.
• W4280494160 cites W2945318165 @default.
• W4280494160 cites W2947295162 @default.
• W4280494160 cites W2948156936 @default.
• W4280494160 cites W2949767200 @default.
• W4280494160 cites W2950389803 @default.
• W4280494160 cites W2955617386 @default.
• W4280494160 cites W2977572548 @default.
• W4280494160 cites W2979371817 @default.
• W4280494160 cites W2987656958 @default.
• W4280494160 cites W2989961964 @default.
• W4280494160 cites W3016302818 @default.
• W4280494160 cites W3023541969 @default.
• W4280494160 cites W3043844898 @default.
• W4280494160 cites W3046358311 @default.
• W4280494160 cites W3114266307 @default.
• W4280494160 doi "https://doi.org/10.1155/2022/3846637" @default.
• W4280494160 hasPublicationYear "2022" @default.
• W4280494160 type Work @default.
• W4280494160 citedByCount "4" @default.
• W4280494160 countsByYear W42804941602022 @default.
• W4280494160 countsByYear W42804941602023 @default.
• W4280494160 crossrefType "journal-article" @default.
• W4280494160 hasAuthorship W4280494160A5003122888 @default.
• W4280494160 hasAuthorship W4280494160A5009834694 @default.
• W4280494160 hasAuthorship W4280494160A5013200620 @default.
• W4280494160 hasAuthorship W4280494160A5030932349 @default.
• W4280494160 hasAuthorship W4280494160A5056870829 @default.
• W4280494160 hasAuthorship W4280494160A5089913503 @default.
• W4280494160 hasBestOaLocation W42804941601 @default.
• W4280494160 hasConcept C110083411 @default.
• W4280494160 hasConcept C11413529 @default.
• W4280494160 hasConcept C124101348 @default.
• W4280494160 hasConcept C127313418 @default.
• W4280494160 hasConcept C148483581 @default.
• W4280494160 hasConcept C154945302 @default.
• W4280494160 hasConcept C165205528 @default.
• W4280494160 hasConcept C169258074 @default.
• W4280494160 hasConcept C175551986 @default.
• W4280494160 hasConcept C41008148 @default.
• W4280494160 hasConceptScore W4280494160C110083411 @default.
• W4280494160 hasConceptScore W4280494160C11413529 @default.
• W4280494160 hasConceptScore W4280494160C124101348 @default.
• W4280494160 hasConceptScore W4280494160C127313418 @default.
• W4280494160 hasConceptScore W4280494160C148483581 @default.
• W4280494160 hasConceptScore W4280494160C154945302 @default.
• W4280494160 hasConceptScore W4280494160C165205528 @default.
• W4280494160 hasConceptScore W4280494160C169258074 @default.
• W4280494160 hasConceptScore W4280494160C175551986 @default.
• W4280494160 hasConceptScore W4280494160C41008148 @default.
• W4280494160 hasLocation W42804941601 @default.
• W4280494160 hasOpenAccess W4280494160 @default.
• W4280494160 hasPrimaryLocation W42804941601 @default.
• W4280494160 hasRelatedWork W2050431484 @default.
• W4280494160 hasRelatedWork W2582542191 @default.
• W4280494160 hasRelatedWork W2980082554 @default.
• W4280494160 hasRelatedWork W3110846648 @default.
• W4280494160 hasRelatedWork W3114957365 @default.
• W4280494160 hasRelatedWork W4280494160 @default.
• W4280494160 hasRelatedWork W4293094117 @default.
• W4280494160 hasRelatedWork W4293525103 @default.
• W4280494160 hasRelatedWork W4320026695 @default.
• W4280494160 hasRelatedWork W4361733514 @default.
• W4280494160 hasVolume "2022" @default.
• W4280494160 isParatext "false" @default.
• W4280494160 isRetracted "false" @default.
• W4280494160 workType "article" @default.