Name
Abstract | ||
|---|---|---|
It is well known that peak demand nowadays has a negative impact on energy grid capital, operational cost and environmental aspects. Specially due to the carbon-intense generation plants that are deployed to address these peak demands. Demand side management activities such as peak demand curtailment or load reallocation, have a huge potential to match energy demand with energy supply side as well as for a better management of their disparity. This is particularly true for residential buildings which are still a largely untapped sector. Since renewable energy sources (e.g. solar and wind power) are increasingly penetrating the energy production side, their dependence on the weather and climatic conditions largely influences their management and exploitation. In order to tackle these issues, Demand Response (DR) programs are introduced into the smart grids so that reliable and economical operation of power systems are ensured. The RESPOND project aims to deploy an interoperable energy automation, monitoring and control solution that will deliver demand response at a dwelling, building and district level getting advantage of the user engagement to achieve a cooperative demand response behavior. In this paper, focus is placed on the data integration and semantic interoperability issues identified in this project. In order to deal with data heterogeneity and its consequent integration and interoperability issues, the RESPOND project envisions the use of Semantic Technologies and a Canonical Data Model. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/GIOTS.2018.8534568 | 2018 Global Internet of Things Summit (GIoTS) |
Keywords | Field | DocType |
IoT,Data integration,Semantic Interoperability,Demand Response,Heterogeneous sources,Energy Efficiency,Residential buildings | Load management,Smart grid,Computer security,Interoperability,Computer science,Demand response,Semantic interoperability,Grid energy storage,Peak demand,Energy supply,Environmental economics | Conference |
ISBN | Citations | PageRank |
978-1-5386-6452-0 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Iker Esnaola-Gonzalez | 1 | 0 | 3.38 |
| Francisco Javier Díez | 2 | 0 | 0.68 |
| Lazar Berbakov | 3 | 21 | 5.98 |
| Nikola Tomasevic | 4 | 30 | 5.93 |
| Pavel Storek | 5 | 0 | 0.34 |
| Miguel Cruz | 6 | 0 | 0.34 |
| Peter Kirketerp | 7 | 0 | 0.34 |