Research Article
DIMCloud: A Distributed Framework for District Energy Simulation and Management
@INPROCEEDINGS{10.1007/978-3-319-19656-5_45, author={Francesco Brundu and Edoardo Patti and Matteo Giudice and Anna Osello and Enrico Macii and Andrea Aquaviva}, title={DIMCloud: A Distributed Framework for District Energy Simulation and Management}, proceedings={Internet of Things. User-Centric IoT. First International Summit, IoT360 2014, Rome, Italy, October 27-28, 2014, Revised Selected Papers, Part I}, proceedings_a={IOT360}, year={2015}, month={7}, keywords={Smart city Middleware Ubiquitous computing Pervasive computing Internet of things District}, doi={10.1007/978-3-319-19656-5_45} }- Francesco Brundu
Edoardo Patti
Matteo Giudice
Anna Osello
Enrico Macii
Andrea Aquaviva
Year: 2015
DIMCloud: A Distributed Framework for District Energy Simulation and Management
IOT360
Springer
DOI: 10.1007/978-3-319-19656-5_45
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.
