Data Augmentation Methods in Energy Development and Applications
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F5: Artificial Intelligence and Smart Energy".
Deadline for manuscript submissions: 15 May 2026
Special Issue Editors
Interests: AI; sustainable industries; machine learning; deep learning; user modeling; shared spaces; RAI
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Data augmentation, a technique that is used to artificially expand datasets through transformations and synthetic data generation, provides a powerful approach to enhance energy-related research and applications. This Special Issue of Energies investigates the development and application of data augmentation methods within the energy sector, inviting contributions from researchers, engineers, and practitioners across diverse domains. In energy systems, data augmentation improves model performance by addressing data scarcity, enabling robust predictions for load forecasting, renewable energy production, and grid optimization. It also supports anomaly detection, fault diagnosis, and energy consumption modeling in complex scenarios. This Special Issue welcomes original research, reviews, and theoretical studies that explore innovative data augmentation strategies tailored to energy challenges. Potential topics include synthetic data generation for wind and solar forecasting, augmentation for smart grid analytics, and techniques to enhance energy efficiency models. We encourage interdisciplinary submissions, integrating insights from computer science, engineering, and environmental sciences to address real-world energy problems. Our aim is to foster collaboration and advance the understanding and deployment of data augmentation, driving impactful solutions for sustainable energy systems. Researchers at all career stages are invited to contribute empirical or theoretical work to this evolving field.
Dr. Hao Chen
Dr. Hadi Taghavifar
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. Energies 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 2600 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
- data augmentation
- energy systems
- synthetic data
- load forecasting
- renewable energy
- smart grid
- anomaly detection
- energy efficiency
- interdisciplinary approaches
- model robustness
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