| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 430.52 KB | Adobe PDF |
Advisor(s)
Abstract(s)
This work introduces a multi-agent systems' society, in power and energy, for simulation and decision support. A semantic data model is considered to describe the domain concepts, providing a way to achieve semantic communication between the systems involved. Sharing a common vocabulary enables systems' interoperability. A semantic registration and search platform, where systems can register their services and/or search for services they require, is also considered to facilitate interoperability in a (semi-)automatic way. Advanced context-aware decision support models and methods based on a strong artificial intelligence approach are also available to enhance players' outcomes from their participation in the sector. The case study presents an integrated laboratorial simulation and emulation infrastructure, enabling a realistic test and validation of the results.
Description
Keywords
Decision Support System Energy Resources Management Multi-agent Simulation Power and Energy Systems Semantic Interoperability
Citation
Publisher
IEEE