Selected Papers from the MOCAST Conference Series

A topical collection in Technologies (ISSN 2227-7080).

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Editors


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Collection Editor

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Collection Editor
Institute of Circuits and Systems, TUD, Dresden University of Technology, 01062 Dresden, Germany
Interests: circuit theory; memristors; chaotic circuits; nonlinear dynamics; AI; machine learning; cellular neural networks; biomedical signal processing
Special Issues, Collections and Topics in MDPI journals

Topical Collection Information

Dear Colleagues,

We are planning to publish a Special Issue related to the MOCAST conference series. The latest events can be found at https://www.mocast.eu/. All the participants of the MOCAST conference series and their colleagues are encouraged to submit their work to this Special Issue.

The MOCAST technical program includes all aspects of circuit and system technologies, from modeling to design, verification, implementation, and application. This Special Issue aims to publish extended versions of top-ranking papers of the conference. The topics of MOCAST include the following:

  • Analog/RF and mixed-signal circuits;
  • Digital circuits and systems design;
  • Nonlinear circuits and systems;
  • Device and circuit modeling;
  • High-performance embedded systems;
  • Systems and applications;
  • Sensors and systems;
  • Artificial intelligence, machine learning, and their applications;
  • Emerging technologies and devices;
  • Communication systems;
  • Network systems;
  • Power electronics and management;
  • Imagers, MEMS, medical, and displays;
  • Radiation front ends (nuclear and space application);
  • Education in circuits, systems, and communications.

Prof. Dr. Spyridon Nikolaidis
Prof. Dr. Valeri Mladenov
Prof. Dr. Ronald Tetzlaff
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 collection 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. Technologies is an international peer-reviewed open access monthly 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 1600 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

  • electronic circuit technologies
  • electronic system technologies
  • modeling, design and implementation of circuits and systems
  • systems and applications

Published Papers (1 paper)

2024

25 pages, 3232 KiB  
Article
A Framework for Distributed Orchestration of Cyber-Physical Systems: An Energy Trading Case Study
by Kostas Siozios
Technologies 2024, 12(11), 229; https://doi.org/10.3390/technologies12110229 - 13 Nov 2024
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Abstract
The increasing number of active energy consumers, also known as energy prosumers, is dramatically changing the electricity system. New products and services that adopt the concept of dynamic pricing are available to the market, where demand and price forecasting are applied to determine [...] Read more.
The increasing number of active energy consumers, also known as energy prosumers, is dramatically changing the electricity system. New products and services that adopt the concept of dynamic pricing are available to the market, where demand and price forecasting are applied to determine schedule loads and prices. Throughout this manuscript, a novel framework for energy trading among prosumers is introduced. Rather than solving the problem in a centralized manner, the proposed orchestrator relies on a distributed game theory to determine optimal bids. Experimental results validate the efficiency of proposed solution, since it achieves average energy cost reduction of 2×, as compared to the associated cost from the main grid. Additionally, the hardware implementation of the introduced framework onto a low-cost embedded device achieves near real-time operation with comparable performance to state-of-the-art computational intensive solvers. Full article
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