Energy Consumption Management in Electronic Systems
A special issue of Journal of Low Power Electronics and Applications (ISSN 2079-9268).
Deadline for manuscript submissions: 31 December 2025 | Viewed by 38
Special Issue Editors
Interests: digital design; low-power design techniques; applications development on embedded systems
Special Issues, Collections and Topics in MDPI journals
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
Special Issue Information
Dear Colleagues,
Energy consumption in electronic systems is one of the most critical factors for the sustainability, performance, and cost-effectiveness of modern technological applications. From portable devices and embedded systems to large-scale infrastructures, optimizing energy management is essential for achieving high efficiency and reducing environmental impact. Energy consumption management comes with significant challenges, such as improving microprocessor efficiency, managing energy in distributed systems, and implementing power-saving strategies in artificial intelligence and edge computing applications. Current trends focus on dynamic power adaptation methods, advanced energy management algorithms, and innovative energy harvesting techniques. This Special Issue aims to highlight innovative methods, technologies, and strategies that contribute to improving the energy efficiency of electronic systems. We welcome studies that will enrich our knowledge and provide new tools and perspectives for the academic and industrial community.
Topics of the Special Issue
This Special Issue garners pioneering research that focuses on the key aspects of energy management in electronic systems, covering the following topics:
- Energy reduction in embedded and IoT systems: Strategies for minimizing power consumption in portable and networked devices.
- Energy management algorithms: Real-time mechanisms for adapting power consumption.
- Low-power architectures: Hardware and software design aimed at efficient energy use.
- Energy harvesting mechanisms: The utilization of energy harvesting techniques and renewable energy sources.
- Energy efficiency in data centers and cloud infrastructures: The optimization of energy usage in large-scale information systems.
- Machine learning and AI for energy management: Intelligent approaches for predictive analysis and adaptive consumption.
Prof. Dr. Spyridon Nikolaidis
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 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. Journal of Low Power Electronics and Applications is an international peer-reviewed open access quarterly 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 1800 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
- energy management
- low-energy/power design techniques
- energy harvesting
- AI for energy management
- low-power circuits and systems
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