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

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