To optimize energy consumption, it is needed to monitor real-time data and simulate all energy flows. In a city district context, energy consumption data usually come from many sources and encoded in different formats. However, few models have been proposed to trace the energy behavior of city districts and handle related data. In this article, we introduce DIMCloud, a model for heterogeneous data management and integration at district level, in a pervasive computing context. Our model, by means of an ontology, is able to register the relationships between different data sources of the district and to disclose the sources locations using a publish-subscribe design pattern. Furthermore, data sources are published as Web Services, abstracting the underlying hardware from the user’s point-of-view.

DIMCloud: a distributed framework for district energy simulation and management / Brundu, FRANCESCO GAVINO; Patti, Edoardo; DEL GIUDICE, Matteo; Osello, Anna; Macii, Enrico; Acquaviva, Andrea - In: Internet of Things. User-Centric IoT / Raffaele Giafredda, Radu-Laurentiu Vieriu, Edna Pasher, Gabriel Bendersky, J. Antonio Jara, J.P.C. Joel Rodrigues, Eliezer Dekel, Benny Mandler. - STAMPA. - [s.l] : Springer International Publishing, 2015. - ISBN 978-3-319-19656-5. - pp. 331-338 [10.1007/978-3-319-19656-5_45]

DIMCloud: a distributed framework for district energy simulation and management

BRUNDU, FRANCESCO GAVINO;PATTI, EDOARDO;DEL GIUDICE, MATTEO;OSELLO, Anna;MACII, Enrico;ACQUAVIVA, ANDREA
2015

Abstract

To optimize energy consumption, it is needed to monitor real-time data and simulate all energy flows. In a city district context, energy consumption data usually come from many sources and encoded in different formats. However, few models have been proposed to trace the energy behavior of city districts and handle related data. In this article, we introduce DIMCloud, a model for heterogeneous data management and integration at district level, in a pervasive computing context. Our model, by means of an ontology, is able to register the relationships between different data sources of the district and to disclose the sources locations using a publish-subscribe design pattern. Furthermore, data sources are published as Web Services, abstracting the underlying hardware from the user’s point-of-view.
978-3-319-19656-5
Internet of Things. User-Centric IoT
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2572537
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