The forthcoming smart-grid is expected to provide advanced energy services more efficiently and eco-friendly with an integrated network of various information such as a smart meter and social networks. As an information model of expressing such an integrated network, a knowledge graph (KG) represents a formal and common specification of concepts and relations in a specific domain. It is essential to leverage KGs for the interoperability, reusability, and scalability of smart-grid applications. However, existing KGs have limitations in accommodating detailed descriptions of energy services. In this paper, we propose an energy knowledge graph, which provides the semantic integration of various energy services. The proposed model also provides the detailed description of a micro-grid community. To verify the proposed model, we present and discuss its use-cases based on energy service scenarios.
|Title of host publication||Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|Publication status||Published - 2018 May 25|
|Event||2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018 - Shanghai, China|
Duration: 2018 Jan 15 → 2018 Jan 18
|Name||Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018|
|Other||2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018|
|Period||18/1/15 → 18/1/18|
Bibliographical noteFunding Information:
ACKNOWLEDGEMENT This work was supported by both Electronics and Telecommunications Research Institute (ETRI) and National Research Foundation of Korea (NRF) grant, which are funded by the Korean government. [Development of Energy Sharing Networking for Zero-Energy Community(15ZC1600) and MSIP(no. NRF-2016R1A2B4015873)].
© 2018 IEEE.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Information Systems
- Information Systems and Management