Matches in SemOpenAlex for { <https://semopenalex.org/work/W3007665943> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W3007665943 endingPage "40666" @default.
- W3007665943 startingPage "40656" @default.
- W3007665943 abstract "Electric load data are essential for data-driven approaches (including deep learning) in smart grid, and advanced smart meter technologies provide fine-grained data with reliable communications. Despite the recent development of smart metering devices, however, missing data still arise due to unexpected device power off, communication failure, measuring error, or other unknown reasons. In this paper, we investigate a deep learning framework for missing imputation of smart meter data by leveraging a denoising autoencoder (DAE). Then, we compare the performance of the proposed DAE with traditional methods as well as other recently developed generative models, e.g., variational autoencoder and Wasserstein autoencoder. The proposed DAE based imputation shows significantly better results compared to other methods in terms of root mean square error (RMSE) by up to 28.9% for point-wise error, and by up to 56% for daily-accumulated error." @default.
- W3007665943 created "2020-03-06" @default.
- W3007665943 creator A5005676924 @default.
- W3007665943 creator A5028070594 @default.
- W3007665943 creator A5049420521 @default.
- W3007665943 date "2020-01-01" @default.
- W3007665943 modified "2023-10-18" @default.
- W3007665943 title "Denoising Autoencoder-Based Missing Value Imputation for Smart Meters" @default.
- W3007665943 cites W2020798301 @default.
- W3007665943 cites W2025768430 @default.
- W3007665943 cites W2116721403 @default.
- W3007665943 cites W2470281051 @default.
- W3007665943 cites W2490223215 @default.
- W3007665943 cites W2529827714 @default.
- W3007665943 cites W2535095268 @default.
- W3007665943 cites W2562403923 @default.
- W3007665943 cites W2565250314 @default.
- W3007665943 cites W2747648188 @default.
- W3007665943 cites W2754252319 @default.
- W3007665943 cites W2765128980 @default.
- W3007665943 cites W2786918196 @default.
- W3007665943 cites W2787596445 @default.
- W3007665943 cites W2807444671 @default.
- W3007665943 cites W2898718502 @default.
- W3007665943 cites W2903782687 @default.
- W3007665943 cites W2907277777 @default.
- W3007665943 cites W2948266581 @default.
- W3007665943 cites W2962980800 @default.
- W3007665943 cites W2969293360 @default.
- W3007665943 cites W3003926916 @default.
- W3007665943 cites W3106194946 @default.
- W3007665943 doi "https://doi.org/10.1109/access.2020.2976500" @default.
- W3007665943 hasPublicationYear "2020" @default.
- W3007665943 type Work @default.
- W3007665943 sameAs 3007665943 @default.
- W3007665943 citedByCount "41" @default.
- W3007665943 countsByYear W30076659432020 @default.
- W3007665943 countsByYear W30076659432021 @default.
- W3007665943 countsByYear W30076659432022 @default.
- W3007665943 countsByYear W30076659432023 @default.
- W3007665943 crossrefType "journal-article" @default.
- W3007665943 hasAuthorship W3007665943A5005676924 @default.
- W3007665943 hasAuthorship W3007665943A5028070594 @default.
- W3007665943 hasAuthorship W3007665943A5049420521 @default.
- W3007665943 hasBestOaLocation W30076659431 @default.
- W3007665943 hasConcept C101738243 @default.
- W3007665943 hasConcept C10558101 @default.
- W3007665943 hasConcept C105795698 @default.
- W3007665943 hasConcept C108583219 @default.
- W3007665943 hasConcept C119599485 @default.
- W3007665943 hasConcept C119857082 @default.
- W3007665943 hasConcept C124101348 @default.
- W3007665943 hasConcept C127413603 @default.
- W3007665943 hasConcept C139945424 @default.
- W3007665943 hasConcept C153180895 @default.
- W3007665943 hasConcept C154945302 @default.
- W3007665943 hasConcept C2779510800 @default.
- W3007665943 hasConcept C33923547 @default.
- W3007665943 hasConcept C41008148 @default.
- W3007665943 hasConcept C58041806 @default.
- W3007665943 hasConcept C9357733 @default.
- W3007665943 hasConceptScore W3007665943C101738243 @default.
- W3007665943 hasConceptScore W3007665943C10558101 @default.
- W3007665943 hasConceptScore W3007665943C105795698 @default.
- W3007665943 hasConceptScore W3007665943C108583219 @default.
- W3007665943 hasConceptScore W3007665943C119599485 @default.
- W3007665943 hasConceptScore W3007665943C119857082 @default.
- W3007665943 hasConceptScore W3007665943C124101348 @default.
- W3007665943 hasConceptScore W3007665943C127413603 @default.
- W3007665943 hasConceptScore W3007665943C139945424 @default.
- W3007665943 hasConceptScore W3007665943C153180895 @default.
- W3007665943 hasConceptScore W3007665943C154945302 @default.
- W3007665943 hasConceptScore W3007665943C2779510800 @default.
- W3007665943 hasConceptScore W3007665943C33923547 @default.
- W3007665943 hasConceptScore W3007665943C41008148 @default.
- W3007665943 hasConceptScore W3007665943C58041806 @default.
- W3007665943 hasConceptScore W3007665943C9357733 @default.
- W3007665943 hasFunder F4320322010 @default.
- W3007665943 hasFunder F4320322120 @default.
- W3007665943 hasLocation W30076659431 @default.
- W3007665943 hasLocation W30076659432 @default.
- W3007665943 hasOpenAccess W3007665943 @default.
- W3007665943 hasPrimaryLocation W30076659431 @default.
- W3007665943 hasRelatedWork W2105559915 @default.
- W3007665943 hasRelatedWork W2669956259 @default.
- W3007665943 hasRelatedWork W2998168123 @default.
- W3007665943 hasRelatedWork W3007665943 @default.
- W3007665943 hasRelatedWork W3049453136 @default.
- W3007665943 hasRelatedWork W3204223310 @default.
- W3007665943 hasRelatedWork W3206517600 @default.
- W3007665943 hasRelatedWork W4229025315 @default.
- W3007665943 hasRelatedWork W4287995534 @default.
- W3007665943 hasRelatedWork W4382406460 @default.
- W3007665943 hasVolume "8" @default.
- W3007665943 isParatext "false" @default.
- W3007665943 isRetracted "false" @default.
- W3007665943 magId "3007665943" @default.
- W3007665943 workType "article" @default.