Energy Optimization and Intelligent Utilization in Advanced Machines
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Electromechanical Energy Conversion Systems".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 53
Special Issue Editors
Interests: energy optimization in machines; electrical machines and drives; electromechanical energy conversion systems; mechatronics and intelligent machines; automation and advanced control; energy-efficient machine design; condition monitoring and diagnostics; AI-based energy management; advanced manufacturing systems
Interests: renewable energy device and marine hydrokinetic power systems; intelligent control of smart grid; modern electric grid architecture; system optimization; high performance elastic actuators; system dynamics; robotics
Interests: fault-tolerant systems; fault-tolerant control; model-based fault detection and diagnosis
Interests: integrated energy systems; smart grid; energy storage; optimization of energy systems
Special Issues, Collections and Topics in MDPI journals
2. CanmetENERGY-Natural Resources Canada, Varennes, QC J3X 1P7, Canada
Interests: artificial intelligence; data and decision fusion; pattern recognition; process mining; fault diagnosis and prognosis; supervisory control theory; discrete event systems; reliability analysis; maintenance management; accelerated system design
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Energy efficiency and intelligent energy utilization have become central challenges in the design, operation, and lifecycle management of modern machines. As machines grow increasingly complex—integrating mechanical structures, electrical drives, power electronics, control systems, and digital intelligence—inefficient energy usage can lead to excessive losses, reduced reliability, higher operating costs, and environmental impact. Recent advances in modeling, sensing, control, data analytics, and artificial intelligence provide unprecedented opportunities to optimize how energy is generated, converted, transmitted, and consumed within advanced machines.
This Special Issue, “Energy Optimization and Intelligent Utilization in Advanced Machines”, aims to present cutting-edge research, innovative methodologies, and forward-looking concepts that address energy optimization across mechanical, electrical, and electromechanical systems. The focus extends beyond isolated component-level efficiency improvements to system-level and cross-domain approaches that enable intelligent, adaptive, and context-aware energy utilization under varying operating conditions. Emphasis is placed on both theoretical developments and practical implementations supported by detailed experimental, numerical, and methodological contributions.
The objectives of this Special Issue are to (i) advance fundamental understanding of energy optimization mechanisms in machines, (ii) promote integrated design and control strategies that enhance energy efficiency and operational performance, and (iii) encourage the dissemination of novel research ideas, frameworks, and proposals that can shape future machine technologies. In alignment with the scope of Machines, this Special Issue welcomes contributions spanning machine design and theory, electrical machines and drives, automation and control, mechatronics and intelligent machines, condition monitoring and diagnostics, advanced manufacturing, vehicle engineering, turbomachinery, and tribology.
Potential topics include, but are not limited to, energy-efficient machine and drive design, intelligent control strategies for energy optimization, data-driven and AI-based energy management, digital twins for energy-aware operation, condition monitoring for efficiency enhancement, friction and loss reduction techniques, and optimization in emerging machine systems such as electric vehicles and micro/nano electromechanical devices. This Special Issue welcomes original research articles, review papers, short communications, and research proposals or visionary concepts supported by rigorous analysis and detailed methodologies.
Dr. Elkhatib Kamal
Dr. Reza Ghorbani
Prof. Dr. Abdel Aitouche
Prof. Dr. Behnam Mohammadi-Ivatloo
Dr. Ahmed Ragab
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 250 words) can be sent to the Editorial Office for assessment.
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. Machines 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 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
- energy-efficient machine and drive design
- intelligent control strategies for energy optimization
- data-driven and AI-based energy management
- digital twins for energy-aware operation
- condition monitoring for efficiency enhancement
- friction and loss reduction techniques
- optimization in emerging machine systems
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