Matches in SemOpenAlex for { <https://semopenalex.org/work/W2895843210> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W2895843210 abstract "The application of Deep Learning methodologies to Non-Intrusive Load Monitoring (NILM) gave rise to a new family of Neural NILM approaches which increasingly outperform traditional NILM approaches. In this extended abstract describing our ongoing research, we analyze recent Neural NILM approaches and our findings imply that these approaches have difficulties in generating valid, reasonably-shaped appliance load profiles. We propose to enhance Neural NILM approaches with appliance load sequence generators trained with a Generative Adversarial Network to mitigate the described problem. The preliminary results of our experiments with Generative Adversarial Networks show the potential of the approach, albeit there is no strong evidence yet that this approach outperforms the examined end-to-end-trained Neural NILM approaches. In the progress of our investigations, we generalize energy-based NILM performance metrics and establish the complete classification confusion matrix based on the estimated energy in appliance load profiles. This enables the adaption of all known classification scores to their energy-based counterparts." @default.
- W2895843210 created "2018-10-26" @default.
- W2895843210 creator A5000300556 @default.
- W2895843210 creator A5007210585 @default.
- W2895843210 creator A5062261948 @default.
- W2895843210 creator A5082605480 @default.
- W2895843210 date "2018-10-01" @default.
- W2895843210 modified "2023-10-01" @default.
- W2895843210 title "Enhancing neural non-intrusive load monitoring with generative adversarial networks" @default.
- W2895843210 cites W1272474793 @default.
- W2895843210 cites W1479651931 @default.
- W2895843210 cites W1584534630 @default.
- W2895843210 cites W1994042232 @default.
- W2895843210 cites W1996944908 @default.
- W2895843210 cites W2024898022 @default.
- W2895843210 cites W2123910460 @default.
- W2895843210 cites W2151729265 @default.
- W2895843210 cites W2292311507 @default.
- W2895843210 cites W2404840071 @default.
- W2895843210 cites W2770861978 @default.
- W2895843210 cites W2798925836 @default.
- W2895843210 doi "https://doi.org/10.1186/s42162-018-0038-y" @default.
- W2895843210 hasPublicationYear "2018" @default.
- W2895843210 type Work @default.
- W2895843210 sameAs 2895843210 @default.
- W2895843210 citedByCount "20" @default.
- W2895843210 countsByYear W28958432102019 @default.
- W2895843210 countsByYear W28958432102020 @default.
- W2895843210 countsByYear W28958432102021 @default.
- W2895843210 countsByYear W28958432102022 @default.
- W2895843210 countsByYear W28958432102023 @default.
- W2895843210 crossrefType "journal-article" @default.
- W2895843210 hasAuthorship W2895843210A5000300556 @default.
- W2895843210 hasAuthorship W2895843210A5007210585 @default.
- W2895843210 hasAuthorship W2895843210A5062261948 @default.
- W2895843210 hasAuthorship W2895843210A5082605480 @default.
- W2895843210 hasBestOaLocation W28958432101 @default.
- W2895843210 hasConcept C105795698 @default.
- W2895843210 hasConcept C11171543 @default.
- W2895843210 hasConcept C119857082 @default.
- W2895843210 hasConcept C138602881 @default.
- W2895843210 hasConcept C154945302 @default.
- W2895843210 hasConcept C15744967 @default.
- W2895843210 hasConcept C186370098 @default.
- W2895843210 hasConcept C2778112365 @default.
- W2895843210 hasConcept C2781140086 @default.
- W2895843210 hasConcept C33923547 @default.
- W2895843210 hasConcept C37736160 @default.
- W2895843210 hasConcept C39890363 @default.
- W2895843210 hasConcept C41008148 @default.
- W2895843210 hasConcept C50644808 @default.
- W2895843210 hasConcept C54355233 @default.
- W2895843210 hasConcept C86803240 @default.
- W2895843210 hasConceptScore W2895843210C105795698 @default.
- W2895843210 hasConceptScore W2895843210C11171543 @default.
- W2895843210 hasConceptScore W2895843210C119857082 @default.
- W2895843210 hasConceptScore W2895843210C138602881 @default.
- W2895843210 hasConceptScore W2895843210C154945302 @default.
- W2895843210 hasConceptScore W2895843210C15744967 @default.
- W2895843210 hasConceptScore W2895843210C186370098 @default.
- W2895843210 hasConceptScore W2895843210C2778112365 @default.
- W2895843210 hasConceptScore W2895843210C2781140086 @default.
- W2895843210 hasConceptScore W2895843210C33923547 @default.
- W2895843210 hasConceptScore W2895843210C37736160 @default.
- W2895843210 hasConceptScore W2895843210C39890363 @default.
- W2895843210 hasConceptScore W2895843210C41008148 @default.
- W2895843210 hasConceptScore W2895843210C50644808 @default.
- W2895843210 hasConceptScore W2895843210C54355233 @default.
- W2895843210 hasConceptScore W2895843210C86803240 @default.
- W2895843210 hasIssue "S1" @default.
- W2895843210 hasLocation W28958432101 @default.
- W2895843210 hasLocation W28958432102 @default.
- W2895843210 hasLocation W28958432103 @default.
- W2895843210 hasOpenAccess W2895843210 @default.
- W2895843210 hasPrimaryLocation W28958432101 @default.
- W2895843210 hasRelatedWork W2901368259 @default.
- W2895843210 hasRelatedWork W2949479613 @default.
- W2895843210 hasRelatedWork W3016626426 @default.
- W2895843210 hasRelatedWork W3023118617 @default.
- W2895843210 hasRelatedWork W3156291593 @default.
- W2895843210 hasRelatedWork W3198184493 @default.
- W2895843210 hasRelatedWork W4231994957 @default.
- W2895843210 hasRelatedWork W4287814309 @default.
- W2895843210 hasRelatedWork W4361795583 @default.
- W2895843210 hasRelatedWork W3124024302 @default.
- W2895843210 hasVolume "1" @default.
- W2895843210 isParatext "false" @default.
- W2895843210 isRetracted "false" @default.
- W2895843210 magId "2895843210" @default.
- W2895843210 workType "article" @default.