FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2887540923> ?p ?o ?g. }

• W2887540923 abstract "In the last years, the energy savings policies are affecting several aspects of the everyday life, from the introduction of renewables and the use of Electric Vehicles, down to the adoption of more efficient lightening systems. Considering a typical building, one of the most energy consuming plant is the Heating, Ventilation and Air Conditioning (HV AC) system. This consideration is especially true for large public-access buildings, such as schools, universities and public administrations. In these cases, the energy saving of buildings depends on the capability to optimize the behavior of the HV AC. Typically, the HV AC control system is based on static models of the building, which consider an average occupancy rate of each of the rooms. On the contrary, in this research work, a Cognitive Building approach has been considered. The Energy Management System (EMS) is able to control and to regulate the HV AC system, considering an occupancy rate model able to take into consideration user’ habits and the indoor air quality (IAQ), provided in near real-time by IoT sensors. This approach has been applied to the eLUX lab building of the campus of the University of Brescia, Italy. Data provided by IAQ sensors (temperature, relative humidity, CO 2 ) are used to refine the results of occupancy rate models of rooms of this building. The experimental results show as in the 22.15 % of the samples, the CO 2 concentration overcame the 1000 ppm threshold of perception of fresh air and good condition." @default.
• W2887540923 created "2018-08-22" @default.
• W2887540923 creator A5007335960 @default.
• W2887540923 creator A5019173512 @default.
• W2887540923 creator A5076032170 @default.
• W2887540923 creator A5087795637 @default.
• W2887540923 date "2018-04-01" @default.
• W2887540923 modified "2023-10-14" @default.
• W2887540923 title "On the Use of IoT Sensors for Indoor Conditions Assessment and Tuning of Occupancy Rates Models" @default.
• W2887540923 cites W1565829205 @default.
• W2887540923 cites W1918318355 @default.
• W2887540923 cites W1931539032 @default.
• W2887540923 cites W1963998248 @default.
• W2887540923 cites W1966081921 @default.
• W2887540923 cites W1981743209 @default.
• W2887540923 cites W2029537703 @default.
• W2887540923 cites W2086472562 @default.
• W2887540923 cites W2115234632 @default.
• W2887540923 cites W2187265948 @default.
• W2887540923 cites W2416945428 @default.
• W2887540923 cites W2529465388 @default.
• W2887540923 cites W2742214901 @default.
• W2887540923 cites W2762682815 @default.
• W2887540923 cites W1977004335 @default.
• W2887540923 doi "https://doi.org/10.1109/metroi4.2018.8428327" @default.
• W2887540923 hasPublicationYear "2018" @default.
• W2887540923 type Work @default.
• W2887540923 sameAs 2887540923 @default.
• W2887540923 citedByCount "9" @default.
• W2887540923 countsByYear W28875409232018 @default.
• W2887540923 countsByYear W28875409232019 @default.
• W2887540923 countsByYear W28875409232020 @default.
• W2887540923 countsByYear W28875409232021 @default.
• W2887540923 countsByYear W28875409232022 @default.
• W2887540923 crossrefType "proceedings-article" @default.
• W2887540923 hasAuthorship W2887540923A5007335960 @default.
• W2887540923 hasAuthorship W2887540923A5019173512 @default.
• W2887540923 hasAuthorship W2887540923A5076032170 @default.
• W2887540923 hasAuthorship W2887540923A5087795637 @default.
• W2887540923 hasConcept C127413603 @default.
• W2887540923 hasConcept C149635348 @default.
• W2887540923 hasConcept C160331591 @default.
• W2887540923 hasConcept C170154142 @default.
• W2887540923 hasConcept C24590314 @default.
• W2887540923 hasConcept C31258907 @default.
• W2887540923 hasConcept C39432304 @default.
• W2887540923 hasConcept C41008148 @default.
• W2887540923 hasConcept C79403827 @default.
• W2887540923 hasConcept C81860439 @default.
• W2887540923 hasConceptScore W2887540923C127413603 @default.
• W2887540923 hasConceptScore W2887540923C149635348 @default.
• W2887540923 hasConceptScore W2887540923C160331591 @default.
• W2887540923 hasConceptScore W2887540923C170154142 @default.
• W2887540923 hasConceptScore W2887540923C24590314 @default.
• W2887540923 hasConceptScore W2887540923C31258907 @default.
• W2887540923 hasConceptScore W2887540923C39432304 @default.
• W2887540923 hasConceptScore W2887540923C41008148 @default.
• W2887540923 hasConceptScore W2887540923C79403827 @default.
• W2887540923 hasConceptScore W2887540923C81860439 @default.
• W2887540923 hasLocation W28875409231 @default.
• W2887540923 hasOpenAccess W2887540923 @default.
• W2887540923 hasPrimaryLocation W28875409231 @default.
• W2887540923 hasRelatedWork W2127170939 @default.
• W2887540923 hasRelatedWork W2145249718 @default.
• W2887540923 hasRelatedWork W2510217115 @default.
• W2887540923 hasRelatedWork W2751166006 @default.
• W2887540923 hasRelatedWork W2775965274 @default.
• W2887540923 hasRelatedWork W2807530277 @default.
• W2887540923 hasRelatedWork W2899084033 @default.
• W2887540923 hasRelatedWork W2970349623 @default.
• W2887540923 hasRelatedWork W2972412491 @default.
• W2887540923 hasRelatedWork W3094633531 @default.
• W2887540923 isParatext "false" @default.
• W2887540923 isRetracted "false" @default.
• W2887540923 magId "2887540923" @default.
• W2887540923 workType "article" @default.