Han Yu
A stream processing framework based on linked data for information collaborating of regional energy networks
Yu, Han; Da Xu, Li; Cai, Hongming; Li, Shancang; Xu, Boyi; Jiang, Lihong
Authors
Li Da Xu
Hongming Cai
Shancang Li
Boyi Xu
Lihong Jiang
Abstract
© 2005-2012 IEEE. Coordinating of energy networks to form a city-level multidimensional integrated energy system becomes a new trend in Energy Internet (EI). The collaborating in the information layer is a core issue to achieve smart integration. However, the heterogeneity of multiagent data, the volatility of components, and the real-time analysis requirement in EI bring significant challenges. To solve these problems, in this article we propose a stream processing framework based on linked data for information collaboration among multiple energy networks. The framework provides a universal data representation based on linked data and semantic relation discovery approach to model and semantically fuse heterogeneous data. Semantics-based information transmission contracts and channels are automatically generated to adapt to structural changes in EI. A multimodel-based dynamic adjusting stream processing is implemented using data semantics. A real-world case study is implemented to demonstrate the adaptability, feasibility, and flexibility of the proposed framework.
Citation
Yu, H., Da Xu, L., Cai, H., Li, S., Xu, B., & Jiang, L. (2021). A stream processing framework based on linked data for information collaborating of regional energy networks. IEEE Transactions on Industrial Informatics, 17(1), 179-188. https://doi.org/10.1109/tii.2019.2957517
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 1, 2019 |
Online Publication Date | Dec 4, 2019 |
Publication Date | Jan 1, 2021 |
Deposit Date | Dec 19, 2019 |
Publicly Available Date | Dec 20, 2019 |
Journal | IEEE Transactions on Industrial Informatics |
Print ISSN | 1551-3203 |
Electronic ISSN | 1941-0050 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 17 |
Issue | 1 |
Pages | 179-188 |
DOI | https://doi.org/10.1109/tii.2019.2957517 |
Keywords | Control and Systems Engineering; Electrical and Electronic Engineering; Information Systems; Computer Science Applications |
Public URL | https://uwe-repository.worktribe.com/output/4884164 |
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