Research Article
PowerOnt: An Ontology-Based Approach for Power Consumption Estimation in Smart Homes
@INPROCEEDINGS{10.1007/978-3-319-19656-5_1, author={Dario Bonino and Fulvio Corno and Luigi De Russis}, title={PowerOnt: An Ontology-Based Approach for Power Consumption Estimation in Smart Homes}, 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={Power consumption Ontology Smart home Electricity}, doi={10.1007/978-3-319-19656-5_1} }- Dario Bonino
Fulvio Corno
Luigi De Russis
Year: 2015
PowerOnt: An Ontology-Based Approach for Power Consumption Estimation in Smart Homes
IOT360
Springer
DOI: 10.1007/978-3-319-19656-5_1
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.
