The Requirement and the Key Technologies of Communication Network in Internet of Energy

Zhang, Wei; Li, Jianqi; Zhou, Jinghai; Hu, Ziwei

doi:10.1007/978-3-319-31854-7_87

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…Information layer: A high degree of information interaction is an essential requirement for the construction of the Energy Internet [43]. Therefore, the most prominent technical characteristics of the Energy Internet at the information level are information transparency and information sharing [44]. The main embodiment of information transparency is to make it open and transparent for the running state of energy network, the healthy state of energy equipment and the trading state of the energy market [45].…”

Section: Technical Featurementioning

confidence: 99%

The Key Technology of Smart Energy System and Its Disciplinary Teaching Reform Measures

et al. 2022

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Based on the rapid development of new energy technology, modern information technology, intelligent management technology and different countries’ strategic demand and deployment in the field of energy, the construction of intelligent energy systems is booming with the combination of new energy technology and Internet technology. The Energy Internet is the representative product of intelligent energy systems at the present stage. Its advantages are the effective promotion of energy saving, consumption reduction and optimization of deployment, thus improving the energy system. However, the large-scale construction of the Energy Internet requires a large number of professionals. In order to meet the needs of Energy Internet construction, the talent training mode of higher education is facing new challenges. To cultivate talents in Energy Internet construction, an effective measure is to reform the teaching system based on the current electrical engineering major in universities. This paper investigates the development and construction of the Energy Internet and the current situation of the electrical engineering discipline and puts forward teaching reform measures to transform the traditional electrical engineering discipline into an Energy Internet engineering discipline, considering course structure design, examination form, teacher allocation and teaching mode. This is important for promoting the large-scale construction of the Energy Internet and improving the competitiveness of graduates in the electrical engineering field.

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Section: Technical Featurementioning

confidence: 99%

The Key Technology of Smart Energy System and Its Disciplinary Teaching Reform Measures

et al. 2022

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“…Therefore, some research works have been conducted recently to develop a framework and evaluate the performance of SDN-based EI cyberinfrastructure [14]- [16]. However, EI is a very complex system with various applications that have specific and strict functional requirements [17], [18]. Many applications, including distribution automation, load control signaling, and outage alarming, are described to require low-latency communication.…”

Section: Introductionmentioning

confidence: 99%

Latency-Optimal Network Intelligence Services in SDN/NFV-Based Energy Internet Cyberinfrastructure

et al. 2020

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Energy internet (EI) is a very complex system with various applications that not only require a high-level of cyber-security but also need low-latency communication. Thus, cyberinfrastructure with latency-optimal network intelligence services (NIS), in which application data flows are deeply examined in real-time, is inevitable. In the future internet system, a set of NIS can flexibly be implemented in network function virtualization (NFV)-based middleboxes that overlay on software-defined networking (SDN) architecture, becoming an SDN/NFV-based cyberinfrastructure. However, how to deploy these middleboxes is a non-deterministic optimization problem, which is complicated and time-consuming. Hence, by focusing on latency minimization, we develop an artificial intelligence (AI)-powered solution consisted of two phases. First, middleboxes placement based on the graph cluster analysis, and second, NIS resource allocation based on the prediction of service usage-ratio in each corresponding cluster. The simulation-based experimental evaluation shows that our proposed strategy using an optimized K-means algorithm outperforms the recent state-of-the-art middleboxes placement approaches. The average end-to-end flow latencies are around 23.81%, 18.44%, and 11.49% lower compared with the simulated annealing method, the basic sequential algorithmic scheme, and the minimum spanning tree procedure, respectively. Besides, the proposed resource allocation scheme optimizes further the latency minimization around 4.24%. We believe that the work presented in this paper will aid the communication service providers (CSP) in providing a secure and low-latency SDN/NFV-based cyberinfrastructure for the EI ecosystem.

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Latency Minimization for Energy Internet Communications with SDN Virtualization Infrastructure

Musa

Choi

Aziz

et al. 2019

2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)

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The Requirement and the Key Technologies of Communication Network in Internet of Energy

Cited by 3 publications

References 1 publication

The Key Technology of Smart Energy System and Its Disciplinary Teaching Reform Measures

The Key Technology of Smart Energy System and Its Disciplinary Teaching Reform Measures

Latency-Optimal Network Intelligence Services in SDN/NFV-Based Energy Internet Cyberinfrastructure

Latency Minimization for Energy Internet Communications with SDN Virtualization Infrastructure

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