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Indoor environmental quality and energy consumption assessment and ANN predictions for an integrated internet-based energy management system towards a Zero-energy building

Kolokotsa Dionysia

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URIhttp://purl.tuc.gr/dl/dias/7965DDD4-336F-49E9-8152-6A86924EA0C8-
Αναγνωριστικόhttps://doi.org/10.1002/9781119902201.ch5-
Αναγνωριστικόhttps://onlinelibrary.wiley.com/doi/10.1002/9781119902201.ch5-
Γλώσσαen-
Μέγεθος36 pagesen
ΤίτλοςIndoor environmental quality and energy consumption assessment and ANN predictions for an integrated internet-based energy management system towards a Zero-energy buildingen
ΔημιουργόςKolokotsa Dionysiaen
ΔημιουργόςΚολοκοτσα Διονυσιαel
ΕκδότηςWileyen
ΠερίληψηThis chapter reveals the most appropriate energy management techniques for transforming an institutional building to a zero-energy building in the tropics. Universities' campuses and campus buildings can be viewed as small districts and microgrids. Therefore, the school of design and environment at the national university of Singapore intends to integrate all buildings under a common energy and indoor environmental quality management platform. A cross correlation is performed between the air temperature measured at the various points and the loads as well as air temperature. Various types of artificial neural network have been developed and tested for the prediction of power loads as well as weather conditions. The nonlinear autoregressive network with exogenous inputs is a recurrent dynamic network, with feedback connections enclosing several layers of the network. Simulation and application of artificial intelligence control techniques, has indicated that they have the potential to make significant energy savings in buildings.en
ΤύποςΚεφάλαιο σε Βιβλίοel
ΤύποςBook Chapteren
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2024-11-11-
Ημερομηνία Δημοσίευσης2022-
Θεματική ΚατηγορίαArtificial intelligence control techniquesen
Θεματική ΚατηγορίαArtificial neural networken
Θεματική ΚατηγορίαCross correlationen
Θεματική ΚατηγορίαIndoor environmental quality management platformen
Θεματική ΚατηγορίαNonlinear autoregressive networken
Θεματική ΚατηγορίαZero-energy buildingen
Βιβλιογραφική ΑναφοράD. Kolokotsa, “Indoor environmental quality and energy consumption assessment and ANN predictions for an integrated internet-based energy management system towards a Zero-energy building,” in Smart Zero‐energy Buildings and Communities for Smart Grids, Engineering, Energy and Architecture Set, Wiley, 2022, vol. 9, pp. 115-150, doi: 10.1002/9781119902201.ch5.en
Τίτλος ΒιβλίουSmart Zero‐energy Buildings and Communities for Smart Gridsen
Έκδοση Βιβλίου1-
Σειρά ΒιβλίουEngineering, Energy and Architecture Seten

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