The impact of electricity consumption in buildings on the overall energy budget of European and North-American states is steadily growing and requires solutions for achieving a more sustainable development. Smart metering and energy management system can be hardly afforded by residential homes, for their cost and the required granularity. Empowering smart homes with suitable power consumption models allows to estimate, in real-time, the current home consumption on the basis of currently active devices. In this paper we introduce an ontology based power consumption model (PowerOnt) for smart homes, and we discuss some application use cases where the proposed approach may successfully be exploited. Results show that the modeling approach has the potential to support energy efficiency measures into residential homes with few or no metering devices.
PowerOnt: An Ontology-based Approach for Power Consumption Estimation in Smart Homes / Bonino, Dario; Corno, Fulvio; DE RUSSIS, Luigi. - STAMPA. - 150:(2015), pp. 3-8. (Intervento presentato al convegno The First International Conference on Cognitive Internet of Things Technologies tenutosi a Roma, Italy nel 27 October 2014) [10.1007/978-3-319-19656-5_1].
PowerOnt: An Ontology-based Approach for Power Consumption Estimation in Smart Homes
BONINO, DARIO;CORNO, Fulvio;DE RUSSIS, LUIGI
2015
Abstract
The impact of electricity consumption in buildings on the overall energy budget of European and North-American states is steadily growing and requires solutions for achieving a more sustainable development. Smart metering and energy management system can be hardly afforded by residential homes, for their cost and the required granularity. Empowering smart homes with suitable power consumption models allows to estimate, in real-time, the current home consumption on the basis of currently active devices. In this paper we introduce an ontology based power consumption model (PowerOnt) for smart homes, and we discuss some application use cases where the proposed approach may successfully be exploited. Results show that the modeling approach has the potential to support energy efficiency measures into residential homes with few or no metering devices.File | Dimensione | Formato | |
---|---|---|---|
poweront.pdf
accesso aperto
Tipologia:
1. Preprint / submitted version [pre- review]
Licenza:
Pubblico - Tutti i diritti riservati
Dimensione
281.05 kB
Formato
Adobe PDF
|
281.05 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/2570936
Attenzione
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo