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Energy Optimization and Management in Smart IoT-Driven Mechanical Systems

This special issue belongs to the section “Electromechanical Energy Conversion Systems“.

Special Issue Information

Dear Colleagues,

The integration of Artificial Intelligence (AI) and Virtual Reality (VR) into IoT-based mechanical systems represents a significant leap in the intelligent management and optimization of industrial and operational resources. Historically, mechanical systems have evolved from manual control to sophisticated, data-driven infrastructures, and the convergence with AI and immersive technologies now enables unprecedented real-time insights, simulation, and decision-making capabilities.

This Special Issue aims to showcase cutting-edge research that explores how AI and VR technologies can improve energy efficiency, system diagnostics, predictive maintenance, and overall resource optimization. Applications may include digital twins, intelligent control algorithms, immersive training environments, and advanced monitoring platforms powered by machine learning.

We invite original contributions that present theoretical advances, applied methodologies, and experimental validations. Both academic and industrial submissions are welcome, especially those that demonstrate the practical implementation and transformative impact of AI and VR in mechanical systems connected via IoT.

Prof. Dr. Álvaro De La Puente Gil
Dr. Enrique Rosales-Asensio
Prof. Dr. Sandra Buján Seoane
Prof. Dr. Roberto Lopez
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

  • artificial intelligence
  • virtual reality
  • IoT
  • mechanical systems
  • resource optimization
  • digital twins
  • predictive maintenance
  • immersive technologies
  • intelligent control
  • smart manufacturing

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Machines - ISSN 2075-1702