Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385873443> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W4385873443 endingPage "5998" @default.
- W4385873443 startingPage "5998" @default.
- W4385873443 abstract "This paper aims to develop a machine-learning model based on a gradient-boosting algorithm to predict the energy-saving awareness of households using a questionnaire survey and 11-month energy data collected from more than 200 smart houses in Kitakyushu, Japan. We utilize the LightGBM (light gradient boosting machine) classifier to perform feature selection for the prediction. By using this approach, we demonstrate that the key features are the standard deviations of electricity purchased between 8 a.m. and 9 a.m. and electricity consumed between 7 p.m. and 9 p.m. Next, by using k-means clustering we split the households based on the obtained features into three groups. Finally, by using statistical hypothesis testing, we prove that these three groups have statistically distinct levels of energy-saving awareness. This model enables us to detect eco-friendly households from their energy data, which may support energy policymaking." @default.
- W4385873443 created "2023-08-17" @default.
- W4385873443 creator A5006510549 @default.
- W4385873443 creator A5009815053 @default.
- W4385873443 creator A5019967759 @default.
- W4385873443 date "2023-08-16" @default.
- W4385873443 modified "2023-10-16" @default.
- W4385873443 title "Gradient Boosting Approach to Predict Energy-Saving Awareness of Households in Kitakyushu" @default.
- W4385873443 cites W2066813784 @default.
- W4385873443 cites W2080723869 @default.
- W4385873443 cites W2081733273 @default.
- W4385873443 cites W2210858887 @default.
- W4385873443 cites W2309225173 @default.
- W4385873443 cites W2490334915 @default.
- W4385873443 cites W2523841471 @default.
- W4385873443 cites W2568612168 @default.
- W4385873443 cites W2616570628 @default.
- W4385873443 cites W2741380125 @default.
- W4385873443 cites W2742626859 @default.
- W4385873443 cites W2799989333 @default.
- W4385873443 cites W2887856301 @default.
- W4385873443 cites W2890073214 @default.
- W4385873443 cites W2942824762 @default.
- W4385873443 cites W2966639287 @default.
- W4385873443 cites W2969942996 @default.
- W4385873443 cites W3010937567 @default.
- W4385873443 cites W3015329712 @default.
- W4385873443 cites W3156667889 @default.
- W4385873443 cites W3157486647 @default.
- W4385873443 cites W3183491169 @default.
- W4385873443 cites W4233104126 @default.
- W4385873443 cites W4292237320 @default.
- W4385873443 cites W4296301579 @default.
- W4385873443 cites W4323664923 @default.
- W4385873443 doi "https://doi.org/10.3390/en16165998" @default.
- W4385873443 hasPublicationYear "2023" @default.
- W4385873443 type Work @default.
- W4385873443 citedByCount "0" @default.
- W4385873443 crossrefType "journal-article" @default.
- W4385873443 hasAuthorship W4385873443A5006510549 @default.
- W4385873443 hasAuthorship W4385873443A5009815053 @default.
- W4385873443 hasAuthorship W4385873443A5019967759 @default.
- W4385873443 hasBestOaLocation W43858734431 @default.
- W4385873443 hasConcept C119599485 @default.
- W4385873443 hasConcept C119857082 @default.
- W4385873443 hasConcept C12267149 @default.
- W4385873443 hasConcept C124101348 @default.
- W4385873443 hasConcept C127413603 @default.
- W4385873443 hasConcept C148483581 @default.
- W4385873443 hasConcept C149782125 @default.
- W4385873443 hasConcept C154945302 @default.
- W4385873443 hasConcept C169258074 @default.
- W4385873443 hasConcept C206658404 @default.
- W4385873443 hasConcept C2742236 @default.
- W4385873443 hasConcept C2780165032 @default.
- W4385873443 hasConcept C33923547 @default.
- W4385873443 hasConcept C41008148 @default.
- W4385873443 hasConcept C46686674 @default.
- W4385873443 hasConcept C70153297 @default.
- W4385873443 hasConcept C73555534 @default.
- W4385873443 hasConcept C95623464 @default.
- W4385873443 hasConceptScore W4385873443C119599485 @default.
- W4385873443 hasConceptScore W4385873443C119857082 @default.
- W4385873443 hasConceptScore W4385873443C12267149 @default.
- W4385873443 hasConceptScore W4385873443C124101348 @default.
- W4385873443 hasConceptScore W4385873443C127413603 @default.
- W4385873443 hasConceptScore W4385873443C148483581 @default.
- W4385873443 hasConceptScore W4385873443C149782125 @default.
- W4385873443 hasConceptScore W4385873443C154945302 @default.
- W4385873443 hasConceptScore W4385873443C169258074 @default.
- W4385873443 hasConceptScore W4385873443C206658404 @default.
- W4385873443 hasConceptScore W4385873443C2742236 @default.
- W4385873443 hasConceptScore W4385873443C2780165032 @default.
- W4385873443 hasConceptScore W4385873443C33923547 @default.
- W4385873443 hasConceptScore W4385873443C41008148 @default.
- W4385873443 hasConceptScore W4385873443C46686674 @default.
- W4385873443 hasConceptScore W4385873443C70153297 @default.
- W4385873443 hasConceptScore W4385873443C73555534 @default.
- W4385873443 hasConceptScore W4385873443C95623464 @default.
- W4385873443 hasFunder F4320334764 @default.
- W4385873443 hasIssue "16" @default.
- W4385873443 hasLocation W43858734431 @default.
- W4385873443 hasOpenAccess W4385873443 @default.
- W4385873443 hasPrimaryLocation W43858734431 @default.
- W4385873443 hasRelatedWork W1996541855 @default.
- W4385873443 hasRelatedWork W2154925885 @default.
- W4385873443 hasRelatedWork W3195168932 @default.
- W4385873443 hasRelatedWork W3200179079 @default.
- W4385873443 hasRelatedWork W4200061235 @default.
- W4385873443 hasRelatedWork W4212927264 @default.
- W4385873443 hasRelatedWork W4225307033 @default.
- W4385873443 hasRelatedWork W4292572141 @default.
- W4385873443 hasRelatedWork W4293525103 @default.
- W4385873443 hasRelatedWork W4313488044 @default.
- W4385873443 hasVolume "16" @default.
- W4385873443 isParatext "false" @default.
- W4385873443 isRetracted "false" @default.
- W4385873443 workType "article" @default.