FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2971069864> ?p ?o ?g. }

• W2971069864 endingPage "979" @default.
• W2971069864 startingPage "979" @default.
• W2971069864 abstract "In recent years, the contrast against energy waste and pollution has become mandatory and widely endorsed. Among the many actors at stake, the building sector energy management is one of the most critical. Indeed, buildings are responsible for 40 % of total energy consumption only in Europe, affecting more than a third of the total pollution produced. Therefore, energy control policies of buildings (for example, forecast-based policies such as Demand Response and Demand Side Management) play a decisive role in reducing energy waste. On these premises, this paper presents an innovative methodology based on Internet-of-Things (IoT) technology for smart building indoor air-temperature forecasting. In detail, our methodology exploits a specialized Non-linear Autoregressive neural network for short- and medium-term predictions, envisioning two different exploitation: (i) on realistic artificial data and (ii) on real data collected by IoT devices deployed in the building. For this purpose, we designed and optimized four neural models, focusing respectively on three characterizing rooms and on the whole building. Experimental results on both a simulated and a real sensors dataset demonstrate the prediction accuracy and robustness of our proposed models." @default.
• W2971069864 created "2019-09-05" @default.
• W2971069864 creator A5005432629 @default.
• W2971069864 creator A5028610334 @default.
• W2971069864 creator A5031653904 @default.
• W2971069864 creator A5046819248 @default.
• W2971069864 creator A5049181393 @default.
• W2971069864 creator A5074519364 @default.
• W2971069864 date "2019-09-02" @default.
• W2971069864 modified "2023-10-01" @default.
• W2971069864 title "A Non-Linear Autoregressive Model for Indoor Air-Temperature Predictions in Smart Buildings" @default.
• W2971069864 cites W1788313271 @default.
• W2971069864 cites W1969184516 @default.
• W2971069864 cites W1975404935 @default.
• W2971069864 cites W1990089772 @default.
• W2971069864 cites W2005289033 @default.
• W2971069864 cites W2007239252 @default.
• W2971069864 cites W2039060197 @default.
• W2971069864 cites W2075491568 @default.
• W2971069864 cites W2108152153 @default.
• W2971069864 cites W2111369274 @default.
• W2971069864 cites W2112532967 @default.
• W2971069864 cites W2134642574 @default.
• W2971069864 cites W2145353282 @default.
• W2971069864 cites W2168087114 @default.
• W2971069864 cites W2183740711 @default.
• W2971069864 cites W2314153399 @default.
• W2971069864 cites W2315557849 @default.
• W2971069864 cites W2508949297 @default.
• W2971069864 cites W2549442217 @default.
• W2971069864 cites W2620598529 @default.
• W2971069864 cites W2787257507 @default.
• W2971069864 cites W2893898383 @default.
• W2971069864 cites W2898132601 @default.
• W2971069864 cites W2898295207 @default.
• W2971069864 cites W2898978958 @default.
• W2971069864 cites W2912485210 @default.
• W2971069864 cites W2913077642 @default.
• W2971069864 cites W2943661464 @default.
• W2971069864 cites W2947919073 @default.
• W2971069864 cites W631321264 @default.
• W2971069864 doi "https://doi.org/10.3390/electronics8090979" @default.
• W2971069864 hasPublicationYear "2019" @default.
• W2971069864 type Work @default.
• W2971069864 sameAs 2971069864 @default.
• W2971069864 citedByCount "20" @default.
• W2971069864 countsByYear W29710698642019 @default.
• W2971069864 countsByYear W29710698642020 @default.
• W2971069864 countsByYear W29710698642021 @default.
• W2971069864 countsByYear W29710698642022 @default.
• W2971069864 countsByYear W29710698642023 @default.
• W2971069864 crossrefType "journal-article" @default.
• W2971069864 hasAuthorship W2971069864A5005432629 @default.
• W2971069864 hasAuthorship W2971069864A5028610334 @default.
• W2971069864 hasAuthorship W2971069864A5031653904 @default.
• W2971069864 hasAuthorship W2971069864A5046819248 @default.
• W2971069864 hasAuthorship W2971069864A5049181393 @default.
• W2971069864 hasAuthorship W2971069864A5074519364 @default.
• W2971069864 hasBestOaLocation W29710698641 @default.
• W2971069864 hasConcept C104317684 @default.
• W2971069864 hasConcept C105795698 @default.
• W2971069864 hasConcept C119599485 @default.
• W2971069864 hasConcept C121332964 @default.
• W2971069864 hasConcept C127413603 @default.
• W2971069864 hasConcept C149782125 @default.
• W2971069864 hasConcept C159877910 @default.
• W2971069864 hasConcept C162324750 @default.
• W2971069864 hasConcept C165696696 @default.
• W2971069864 hasConcept C170154142 @default.
• W2971069864 hasConcept C185592680 @default.
• W2971069864 hasConcept C186370098 @default.
• W2971069864 hasConcept C206658404 @default.
• W2971069864 hasConcept C2779438525 @default.
• W2971069864 hasConcept C2780165032 @default.
• W2971069864 hasConcept C33923547 @default.
• W2971069864 hasConcept C38652104 @default.
• W2971069864 hasConcept C41008148 @default.
• W2971069864 hasConcept C55493867 @default.
• W2971069864 hasConcept C63479239 @default.
• W2971069864 hasConcept C7817414 @default.
• W2971069864 hasConcept C83931994 @default.
• W2971069864 hasConcept C97355855 @default.
• W2971069864 hasConceptScore W2971069864C104317684 @default.
• W2971069864 hasConceptScore W2971069864C105795698 @default.
• W2971069864 hasConceptScore W2971069864C119599485 @default.
• W2971069864 hasConceptScore W2971069864C121332964 @default.
• W2971069864 hasConceptScore W2971069864C127413603 @default.
• W2971069864 hasConceptScore W2971069864C149782125 @default.
• W2971069864 hasConceptScore W2971069864C159877910 @default.
• W2971069864 hasConceptScore W2971069864C162324750 @default.
• W2971069864 hasConceptScore W2971069864C165696696 @default.
• W2971069864 hasConceptScore W2971069864C170154142 @default.
• W2971069864 hasConceptScore W2971069864C185592680 @default.
• W2971069864 hasConceptScore W2971069864C186370098 @default.
• W2971069864 hasConceptScore W2971069864C206658404 @default.
• W2971069864 hasConceptScore W2971069864C2779438525 @default.
• W2971069864 hasConceptScore W2971069864C2780165032 @default.
• W2971069864 hasConceptScore W2971069864C33923547 @default.

• next