| 1. |
- Ahmad, Ijaz, et al.
(författare)
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Machine Learning Meets Communication Networks: Current Trends and Future Challenges
- 2020
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Ingår i: IEEE Access. - : IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. - 2169-3536. ; 8, s. 223418-223460
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Tidskriftsartikel (refereegranskat)abstract
- The growing network density and unprecedented increase in network traffic, caused by the massively expanding number of connected devices and online services, require intelligent network operations. Machine Learning (ML) has been applied in this regard in different types of networks and networking technologies to meet the requirements of future communicating devices and services. In this article, we provide a detailed account of current research on the application of ML in communication networks and shed light on future research challenges. Research on the application of ML in communication networks is described in: i) the three layers, i.e., physical, access, and network layers; and ii) novel computing and networking concepts such as Multi-access Edge Computing (MEC), Software Defined Networking (SDN), Network Functions Virtualization (NFV), and a brief overview of ML-based network security. Important future research challenges are identified and presented to help stir further research in key areas in this direction.
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| 2. |
- Ashjaei, Mohammad, 1980-
(författare)
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Real-Time Communication over Switched Ethernet with Resource Reservation
- 2016
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Due to the need for advanced computer-controlled functionality in distributed embedded systems the requirements on network communication are becoming overly intricate. This dissertation targets the requirements that are concerned with real-time guarantees, run-time adaptation, resource utilization and flexibility during the development. The Flexible Time-Triggered Switched Ethernet (FTT-SE) and Hard Real-Time Ethernet Switching (HaRTES) network architectures have emerged as two promising solutions that can cater for these requirements. However, these architectures do not support multi-hop communication as they are originally developed for single-switch networks. This dissertation presents a fundamental contribution in multi-hop real-time communication over the FTT-SE and HaRTES architectures targeting the above mentioned requirements. It proposes and evaluates various solutions for scheduling and forwarding the traffic through multiple switches in these architectures. These solutions preserve the ability of dynamic adaptation without jeopardizing real-time properties of the architectures. Moreover, the dissertation presents schedulability analyses for the timeliness verification and evaluation of the proposed solutions as well as several protocols to support run-time adaptation in the multi-hop communication. Finally, the work led to an end-to-end resource reservation framework, based on the proposed multi-hop architectures, to support flexibility during the development of the systems. The efficiency of the proposed solutions is evaluated on various case studies that are inspired from industrial systems.
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| 3. |
- Efkarpidis, Nikolaos, et al.
(författare)
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A Generic Framework for the Definition of Key Performance Indicators for Smart Energy Systems at Different Scales
- 2022
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Ingår i: Energies. - : MDPI. - 1996-1073. ; 15:4
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Tidskriftsartikel (refereegranskat)abstract
- The growing integration of intermittent renewable energy sources (RESs) and the increasing trend of shutting down fossil-fuel-based power plants has brought about the need for additional flexibility in energy systems. This flexibility can be provided in various forms, including controllable generation and consumption, storage, conversions, and exchanges with interconnected systems. In this context, an increasing focus is placed on the development of smart energy systems (SESs) that combine different types of distributed energy resources (DERs), information and communication technologies (ICTs), demand side management (DSM), and energy conversion technologies. The utilization of SESs can lead to multiple benefits for the stakeholders involved; therefore, the assessment of their performance is a primary concern. Due to their multidisciplinary nature, there are no known or universally accepted standards for assessing the performance of SESs. Previous efforts only define key performance indicators (KPIs) for individual homogeneous subsystems, focusing on a specific SES type and application area. This paper focuses on the development of a novel comprehensive KPI framework that can be applied to any type of SES, regardless of the application area. The proposed framework consists of four layers that specify the application area, the main SES requirements, and the involved stakeholders’ objectives. Next, the KPIs are identified for each of the stakeholders’ objectives. The proposed KPI framework is applied to the use case of a European research project with different application areas, to demonstrate its features. Finally, a repository of KPIs is identified for each use case with respect to the aforementioned SES requirements.
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| 4. |
- Efkarpidis, Nikolaos, et al.
(författare)
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A Robust KPI Framework for Smart Energy Systems of Different Scales
- 2022
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Ingår i: 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE). - : IEEE. ; , s. 454-461
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Konferensbidrag (refereegranskat)abstract
- Nowadays, an increasing focus is placed on the development of smart energy systems (SESs) that combine a variety of heterogeneous sub-systems with largely varying applications. Due to their multidisciplinary nature, there are no universally accepted standards assessing their performance. Previous efforts typically define Key Performance Indicators (KPIs) only for specific SES types and application areas. This paper presents a robust KPI framework that can be applied to any SES type regardless of the application area. The proposed framework consists of four layers following the top-down approach. The layers define the application area, SES requirements, main stakeholders involved specifying their objectives and finally, the KPIs for each of the stakeholders' objectives. The proposed KPI framework is applied on the use cases of a European research project with different application areas showing its features.
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| 5. |
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| 6. |
- Efkarpidis, Nikolaos, et al.
(författare)
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Proactive Scheduling of Mixed Energy Resources at Different Grid Levels
- 2024
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Ingår i: IEEE Transactions on Sustainable Energy. - : Institute of Electrical and Electronics Engineers Inc.. - 1949-3029 .- 1949-3037. ; 15, s. 952-
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Tidskriftsartikel (refereegranskat)abstract
- The optimal utilisation of distribution grids requires the proactive management of volatilities caused by mixed energy resources installed into different grid levels, such as buildings, energy communities (ECs) and substations. In this context, proactive control based on predictions for energy demand and generation is applied. The mitigation of conflicts between the stakeholders' objectives is the main challenge for the control of centralized and distributed energy resources. In this paper, a bi-level approach is proposed for the control of stationary battery energy storage systems (SBES) supporting the local distribution system operator (DSO) at the transformer level, as well as distributed energy resources (DERs) operated by end customers, i.e., EC-members. Model predictive control (MPC)- based and hybrid approaches merging rule- and MPC-based control schemes are evaluated. Simulation studies based on a typical European low voltage (LV) feeder topology yield the performance assessment in terms of technical and economic criteria. The results show an advantage of hybrid approaches with respect to the DSO's cost savings from peak shaving. From the EC's perspective, both hybrid and MPC-based schemes can achieve effective cost savings from proactive energy management.
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| 7. |
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| 8. |
- Mahmood, Aamir, 1980-, et al.
(författare)
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Factory 5G : A Review of Industry-Centric Features and Deployment Options
- 2022
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Ingår i: IEEE Industrial Electronics Magazine. - 1932-4529 .- 1941-0115. ; 16:2, s. 24-34
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Tidskriftsartikel (refereegranskat)abstract
- Fine-grained and wide-scale connectivity is a precondition to fully digitalize the manufacturing industry. Driven by this need, new technologies such as time-sensitive networking (TSN), 5G wireless networks, and industrial Internet-of-things (IIoT) are being applied to industrial communication networks to reach the desired connectivity spectrum. With TSN emerging as a wired networking solution, converging IT and operational technology (OT) data streams, 5G is upscaling its access and core networks to function as an independent or a transparent TSN carrier in demanding OT use-cases. In this article, we discuss the drivers for future industrial wireless systems and review the role of 5G and its industrial-centric evolution towards meeting the strict performance standards of factories. We also elaborate on the 5G deployment options, including frequency spectrum allocation and private networks, to help the factory owners discern various dimensions of solution space and concerns to integrate 5G in industrial networks.
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