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Feature Papers in 'Electrical, Electronics and Communications Engineering' Section

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 5651

Special Issue Editors


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Guest Editor
Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, 20133 Milano, Italy
Interests: radiation detectors; X- and gamma-ray detection; medical imaging; silicon detectors; SDD; SiPM; low-noise analog electronics; sensors front-end; impedance; instrumentation; electrochemical biosensors; environmental monitoring

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Guest Editor
Department of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy
Interests: optical sensors; biosensors and chemical sensors; optical fiber sensors and optoelectronic devices
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Electrical, electronics, and communications engineering are used in a large variety of application fields.

The main aim of this Special Issue is to bring together researchers active in the innovative developments of devices, schemes, instrumentation, materials and applications of systems exploiting electrical, electronics, and communications engineering.

Works addressing the wide aspects of this technology are sought, including, but not limited to, recent progresses in: novel devices and schemes with relative applications; dedicated instrumentation (hardware, applications and measurement methodologies); sensor, device and material characterization; smart systems.

A special emphasis of this Special Issue will be the current state-of-the-art and emerging trends.

Prospective authors are invited to submit feature review papers on topics related to “Electrical, Electronics and Communications Engineering”.

Dr. Graziella Scandurra
Dr. Marco Carminati
Dr. Nunzio Cennamo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • emerging technologies
  • signal and data processing
  • novel applications
  • developments in electrical, electronics and communications engineering
  • process optimization
  • novel materials
  • devices and materials characterization
  • smart systems
  • instrumentation and measurement

Published Papers (3 papers)

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Research

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19 pages, 2901 KiB  
Article
Analysis of Heuristic Optimization Technique Solutions for Combined Heat-Power Economic Load Dispatch
by Nagendra Singh, Tulika Chakrabarti, Prasun Chakrabarti, Vladimir Panchenko, Dmitry Budnikov, Igor Yudaev and Vadim Bolshev
Appl. Sci. 2023, 13(18), 10380; https://doi.org/10.3390/app131810380 - 16 Sep 2023
Viewed by 887
Abstract
Thermal power plants use coal as a fuel to create electricity while wasting a significant amount of energy as heat. If the heat and power plants are combined and used in cogeneration systems, it is possible to reuse the waste heat and hence [...] Read more.
Thermal power plants use coal as a fuel to create electricity while wasting a significant amount of energy as heat. If the heat and power plants are combined and used in cogeneration systems, it is possible to reuse the waste heat and hence enhance the overall efficiency of the power plant. In order to minimize production costs while taking system constraints into account, it is important to find out the optimal operating point of power and heat for each unit. Combined heat and power production is now widely used to improve thermal efficiency, lower environmental emissions, and reduce power generation costs. In order to determine the best solutions to the combined heat and power economic dispatch problem, several traditional as well as innovative heuristic optimization approaches were employed. This study offers a thorough analysis of the use of heuristic optimization techniques for the solution of the combined heat and power economic dispatch problem. In this proposed work, the most well-known heuristic optimization methods are examined and used for the solution of various generating unit systems, such as 4, 7, 11, 24, 48, 84, and 96, taking into account various constraints. This study analyzes how various evolutionary approaches are performed for various test systems. The heuristic methodologies’ best outcomes for various case studies with restrictions are contrasted. Full article
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13 pages, 6527 KiB  
Article
A Subcell Finite-Difference Time-Domain Implementation for Narrow Slots on Conductive Panels
by Miguel Ruiz Cabello, Antonio J. Martín Valverde, Borja Plaza, Malte Frövel, David Poyatos, Amelia R. Bretones, Alberto G. Bravo and Salvador G. García
Appl. Sci. 2023, 13(15), 8949; https://doi.org/10.3390/app13158949 - 3 Aug 2023
Cited by 1 | Viewed by 811
Abstract
Efficiently modeling thin features using the finite-difference time-domain (FDTD) method involves a considerable reduction in the spatial mesh size. However, in real-world scenarios, such reductions can lead to unaffordable memory and CPU requirements. In this manuscript, we present two stable and efficient techniques [...] Read more.
Efficiently modeling thin features using the finite-difference time-domain (FDTD) method involves a considerable reduction in the spatial mesh size. However, in real-world scenarios, such reductions can lead to unaffordable memory and CPU requirements. In this manuscript, we present two stable and efficient techniques in FDTD to handle narrow apertures on conductive thin panels. One technique employs conformal methods, while the other utilizes subgridding methods. We validate their performance compared to the classical Gilbert-Holland model and present experimental results in reverberation environments to shed light on these models’ actual confidence margins in real electromagnetic compatibility (EMC) scenarios. Full article
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Review

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21 pages, 1842 KiB  
Review
A Review on Distribution System State Estimation Algorithms
by Maria Fotopoulou, Stefanos Petridis, Ioannis Karachalios and Dimitrios Rakopoulos
Appl. Sci. 2022, 12(21), 11073; https://doi.org/10.3390/app122111073 - 1 Nov 2022
Cited by 16 | Viewed by 3115
Abstract
The modern energy requirements and the orientation towards Renewable Energy Sources (RES) integration promote the transition of distribution grids from passive, unidirectional, fossil fuel-based into active, bidirectional, environmental-friendly architectures. For this purpose, advanced control algorithms and optimization processes are implemented, the performance of [...] Read more.
The modern energy requirements and the orientation towards Renewable Energy Sources (RES) integration promote the transition of distribution grids from passive, unidirectional, fossil fuel-based into active, bidirectional, environmental-friendly architectures. For this purpose, advanced control algorithms and optimization processes are implemented, the performance of which relies on the Distribution System State Estimation (DSSE). DSSE algorithms provide the Distribution System Operator (DSO) with detailed information regarding the network’s state in order to derive the optimal decisions. However, this task is quite complex as the distribution system has inherent unbalance issues, often faces lack of adequate measurements, etc. The purpose of this paper is to review the DSSE algorithms that a system can incorporate with emphasis on their particular requirements, the mathematical formulation of the problem, the analysis of the existing model-based and data-driven approaches and the recommended solutions regarding observability issues, bad data detection, and meter placement strategies. Furthermore, special attention is paid to DSSE applications, including the use cases where they can be deployed, the approaches that are usually followed, the integrated distributed power supply units, as well as their future trends and challenges, thus highlighting their business-related aspects. Full article
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