Matches in SemOpenAlex for { <https://semopenalex.org/work/W4316468390> ?p ?o ?g. }
- W4316468390 endingPage "939" @default.
- W4316468390 startingPage "939" @default.
- W4316468390 abstract "Non-intrusive load monitoring (NILM) can obtain fine-grained electricity consumption information of each appliance by analyzing the voltage and current data measured at a single point on the bus, which is of great significance for promoting and improving the efficiency and sustainability of the power grid and enhancing the energy efficiency of users. NILM mainly includes data collection and preprocessing, event detection, feature extraction, and appliance identification. One of the most critical steps in NILM is signature extraction, which is the basis for all algorithms to achieve good state detection and energy disaggregation. With the generalization of machine learning algorithms, different algorithms have also been used to extract unique signatures of appliances. Recently, the development and deployment of the voltage–current (V-I) trajectory signatures applied for appliance identification motivated us to present a comprehensive review in this domain. The V-I trajectory signatures have the potential to be an intermediate domain between computer vision and NILM. By identifying the V-I trajectory, we can detect the operating state of the appliance. We also summarize existing papers based on V-I trajectories and look forward to future research directions that help to promote the field’s development." @default.
- W4316468390 created "2023-01-16" @default.
- W4316468390 creator A5023999161 @default.
- W4316468390 creator A5033586270 @default.
- W4316468390 creator A5036929070 @default.
- W4316468390 creator A5052350348 @default.
- W4316468390 creator A5059540315 @default.
- W4316468390 creator A5072049129 @default.
- W4316468390 date "2023-01-13" @default.
- W4316468390 modified "2023-09-30" @default.
- W4316468390 title "An Overview of Non-Intrusive Load Monitoring Based on V-I Trajectory Signature" @default.
- W4316468390 cites W1575617279 @default.
- W4316468390 cites W168840469 @default.
- W4316468390 cites W1994042232 @default.
- W4316468390 cites W2020517213 @default.
- W4316468390 cites W2028257008 @default.
- W4316468390 cites W2066525309 @default.
- W4316468390 cites W2100955315 @default.
- W4316468390 cites W2123910460 @default.
- W4316468390 cites W2198139313 @default.
- W4316468390 cites W2255051834 @default.
- W4316468390 cites W2289387268 @default.
- W4316468390 cites W2306480410 @default.
- W4316468390 cites W2514183049 @default.
- W4316468390 cites W2755492127 @default.
- W4316468390 cites W2764060181 @default.
- W4316468390 cites W2775375016 @default.
- W4316468390 cites W2778405665 @default.
- W4316468390 cites W2786918196 @default.
- W4316468390 cites W2884243640 @default.
- W4316468390 cites W2886986806 @default.
- W4316468390 cites W2891483719 @default.
- W4316468390 cites W2897073097 @default.
- W4316468390 cites W2904841534 @default.
- W4316468390 cites W2908779501 @default.
- W4316468390 cites W2948816168 @default.
- W4316468390 cites W2971307939 @default.
- W4316468390 cites W2988355378 @default.
- W4316468390 cites W3006472355 @default.
- W4316468390 cites W3044070975 @default.
- W4316468390 cites W3045430323 @default.
- W4316468390 cites W3103730413 @default.
- W4316468390 cites W3134501235 @default.
- W4316468390 cites W3158844933 @default.
- W4316468390 cites W3164012365 @default.
- W4316468390 cites W3179967810 @default.
- W4316468390 cites W4205552909 @default.
- W4316468390 cites W4214822540 @default.
- W4316468390 cites W4283773283 @default.
- W4316468390 cites W4285209047 @default.
- W4316468390 cites W4308526454 @default.
- W4316468390 doi "https://doi.org/10.3390/en16020939" @default.
- W4316468390 hasPublicationYear "2023" @default.
- W4316468390 type Work @default.
- W4316468390 citedByCount "2" @default.
- W4316468390 countsByYear W43164683902023 @default.
- W4316468390 crossrefType "journal-article" @default.
- W4316468390 hasAuthorship W4316468390A5023999161 @default.
- W4316468390 hasAuthorship W4316468390A5033586270 @default.
- W4316468390 hasAuthorship W4316468390A5036929070 @default.
- W4316468390 hasAuthorship W4316468390A5052350348 @default.
- W4316468390 hasAuthorship W4316468390A5059540315 @default.
- W4316468390 hasAuthorship W4316468390A5072049129 @default.
- W4316468390 hasBestOaLocation W43164683901 @default.
- W4316468390 hasConcept C105339364 @default.
- W4316468390 hasConcept C10551718 @default.
- W4316468390 hasConcept C105795698 @default.
- W4316468390 hasConcept C111919701 @default.
- W4316468390 hasConcept C116834253 @default.
- W4316468390 hasConcept C119599485 @default.
- W4316468390 hasConcept C121332964 @default.
- W4316468390 hasConcept C124101348 @default.
- W4316468390 hasConcept C127413603 @default.
- W4316468390 hasConcept C1276947 @default.
- W4316468390 hasConcept C134306372 @default.
- W4316468390 hasConcept C13662910 @default.
- W4316468390 hasConcept C138885662 @default.
- W4316468390 hasConcept C154945302 @default.
- W4316468390 hasConcept C177148314 @default.
- W4316468390 hasConcept C186370098 @default.
- W4316468390 hasConcept C187691185 @default.
- W4316468390 hasConcept C2524010 @default.
- W4316468390 hasConcept C2776401178 @default.
- W4316468390 hasConcept C2780165032 @default.
- W4316468390 hasConcept C33923547 @default.
- W4316468390 hasConcept C34736171 @default.
- W4316468390 hasConcept C36503486 @default.
- W4316468390 hasConcept C41008148 @default.
- W4316468390 hasConcept C41895202 @default.
- W4316468390 hasConcept C52622490 @default.
- W4316468390 hasConcept C59822182 @default.
- W4316468390 hasConcept C79403827 @default.
- W4316468390 hasConcept C86803240 @default.
- W4316468390 hasConceptScore W4316468390C105339364 @default.
- W4316468390 hasConceptScore W4316468390C10551718 @default.
- W4316468390 hasConceptScore W4316468390C105795698 @default.
- W4316468390 hasConceptScore W4316468390C111919701 @default.
- W4316468390 hasConceptScore W4316468390C116834253 @default.