IoT-Driven Digital Twin Integration and Energy Modeling for Smart Industry 4.0
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".
Deadline for manuscript submissions: 15 December 2025 | Viewed by 29
Special Issue Editors
Interests: IoT; digital twins; anomaly detection; real-time algorithms; cybersecurity; energy modeling
Interests: smart electronic systems; security and energy aware cyber-physical systems (CPS); IoMT based approaches for smart healthcare; IoT-enabled consumer electronics for smart cities
Special Issues, Collections and Topics in MDPI journals
Interests: IoT; robotics/mechatronics and automation of manufacturing and other processes; industrial robots (IRs); application of machine learning/AI in manufacturing and other physical processes
Special Issues, Collections and Topics in MDPI journals
Interests: Industry 4.0; building energy modeling; energy efficiency; HVAC systems; renewable energy integration; energy auditing; sustainable building design; energy management systems; smart grids; thermal comfort; indoor air quality
Special Issue Information
Dear Colleagues,
We would like to invite you to contribute to this Special Issue, "IoT-Driven Digital Twin Integration and Energy Modeling for Smart Industry 4.0", which will be published in Electronics. It aims to explore innovative methodologies and practical applications of IoT technology integrated with digital twins, emphasizing the use of building energy modeling, calibration methodologies, and predictive analytics to enhance energy efficiency and sustainability in cloud-based Industry 4.0 technology.
This Special Issue primarily focuses on the intersection of IoT-enabled digital twins and advanced building energy modeling. We aim to publish research that provides significant insights into modeling, calibration techniques (such as UrbanOpt- and OpenStudio-based methodologies), and the effective application of the IoT in smart buildings and industrial facilities. Submissions should address advancements in areas including (but not limited to) the following:
- IoT frameworks and smart contracts in building management that are cloud-native.
- Open IoT protocols using MQTT for constrained devices, CoAP (Constrained Application Protocol), and cloud-based RESTful APIs using HTTP/HTTPS via the internet.
- Calibration methodologies for energy models using IoT data.
- UrbanOpt, OpenStudio, EnergyPlus, and related tools for energy modeling.
- Real-time data analytics and anomaly detection for smart buildings.
- Digital twin modeling for improved energy management.
- Edge computing solutions in energy-efficient smart industry environments.
- Practical case studies demonstrating IoT–digital twin integration for energy optimization.
This Special Issue hopes to build upon the existing body of literature by addressing practical challenges and future opportunities in the integration of the IoT and digital twins, specifically within the context of energy efficiency and modeling in Industry 4.0 and the integration of existing layers into a cloud-native environment.
Dr. Vasanth Iyer
Prof. Dr. Saraju P. Mohanty
Dr. Jeff Ma
Dr. Peng "Solomon" Yin
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. Electronics 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
- IoT
- digital twin
- cloud-native
- Industry 4.0
- energy modeling
- calibration methods
- UrbanOpt
- OpenStudio
- EnergyPlus
- smart contracts
- edge computing
- predictive analytics
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