Research Article
SMARTAI ENERGY: Artificial Intelligence for the Optimization of Renewable Energies – Education, Research and Future Prospects
- 1European Polytechnical University
- 2FOM Frankfurt – University of Applied Sciences
International Journal of Psychology and Strategic Communication, Vol. 1, No. 2, pp. 230–236, 2025
https://doi.org/10.61030/IJPSC.25.v02pp01
- review
- double-blind
- access
- open
- license
- CC-BY-4.0
- year
- 2025
- doi
- registered
Abstract
Academic education in AI-driven renewable energy systems is evolving rapidly, propelled by digitalization, interdisciplinary collaboration, and technological advancements. Online platforms and international research networks enhance access to specialized content and facilitate global networking among students and researchers. Concurrently, collaborations between universities, industry, and research centers foster practice-oriented training formats that bridge theory and practice. Innovative technologies like Edge AI are being integrated into energy research to maximize the efficiency of future renewable energy systems. The persistent demand for skilled professionals in this domain necessitates continuous curriculum adaptation, particularly concerning practical projects, regulatory frameworks, and ethical considerations. This study examines the challenges and opportunities in academic education related to AI and renewable energies, highlighting how technological innovations can drive the energy transition.
Keywords: SMART Renewable Energy, Artificial Intelligence, Optimization, Green Energetics, Research, Future
Article Title
SMARTAI ENERGY: Artificial Intelligence for the Optimization of Renewable Energies – Education, Research and Future Prospects
Authors
Prof. h.c. Dietmar Pfaff
European Polytechnical University, Pernik, Bulgaria
Email: dp@dietmar-pfaff.de
Dr. phil. Patrick Hedfeld
FOM Frankfurt – University of Applied Sciences, Germany
Email: patrick.hedfeld@gmx.de
Journal Details
- Journal: International Journal of Psychology and Strategic Communication
- ISSN (Online): 2941-5691
- ISSN (Print): 2941-5705
- DOI: https://doi.org/10.61030/IJPSC.25.v02pp01
Abstract
Academic education in AI-driven renewable energy systems is evolving rapidly, propelled by digitalization, interdisciplinary collaboration, and technological advancements. Online platforms and international research networks enhance access to specialized content and facilitate global networking among students and researchers. Concurrently, collaborations between universities, industry, and research centers foster practice-oriented training formats that bridge theory and practice.
Innovative technologies like Edge AI are being integrated into energy research to maximize the efficiency of future renewable energy systems. The persistent demand for skilled professionals in this domain necessitates continuous curriculum adaptation, particularly concerning practical projects, regulatory frameworks, and ethical considerations.
This study examines the challenges and opportunities in academic education related to AI and renewable energies, highlighting how technological innovations can drive the energy transition.
Keywords
SMART Renewable Energy, Artificial Intelligence, Optimization, Green Energetics, Research, Future
How to Cite This Article
Pfaff, D., & Hedfeld, P. (2025). SMARTAI ENERGY: Artificial Intelligence for the Optimization of Renewable Energies – Education, Research and Future Prospects. International Journal of Psychology and Strategic Communication, 230. https://doi.org/10.61030/IJPSC.25.v02pp01
Full Article (PDF)
https://ijpsc.org/journal/v02/pp/01.pdf
This PDF was updated in May 2025 to reflect continuous pagination within Volume 1, Issue 2
Metadata and Info
- DOI: https://doi.org/10.61030/IJPSC.25.v02pp01
- Published: 2025
- License: CC BY 4.0 (if applicable)
Cite this article
Prof. h.c. Dietmar Pfaff, European Polytechnical University, Pernik, Bulgaria, Email: dp@dietmar-pfaff.de, Dr. phil. Patrick Hedfeld, FOM Frankfurt – University of Applied Sciences, Germany, & Email: patrick.hedfeld@gmx.de (2025). SMARTAI ENERGY: Artificial Intelligence for the Optimization of Renewable Energies – Education, Research and Future Prospects. International Journal of Psychology and Strategic Communication, 1(2). https://doi.org/10.61030/IJPSC.25.v02pp01
Prof. h.c. Dietmar Pfaff, European Polytechnical University, Pernik, Bulgaria, Email: dp@dietmar-pfaff.de, Dr. phil. Patrick Hedfeld, FOM Frankfurt – University of Applied Sciences, Germany, & Email: patrick.hedfeld@gmx.de (2025) 'SMARTAI ENERGY: Artificial Intelligence for the Optimization of Renewable Energies – Education, Research and Future Prospects', International Journal of Psychology and Strategic Communication, 1(2). Available at: https://doi.org/10.61030/IJPSC.25.v02pp01
Prof. h.c. Dietmar Pfaff, European Polytechnical University, Pernik, Bulgaria, Email: dp@dietmar-pfaff.de, Dr. phil. Patrick Hedfeld, FOM Frankfurt – University of Applied Sciences, Germany, & Email: patrick.hedfeld@gmx.de. "SMARTAI ENERGY: Artificial Intelligence for the Optimization of Renewable Energies – Education, Research and Future Prospects." International Journal of Psychology and Strategic Communication 1(2) (2025). https://doi.org/10.61030/IJPSC.25.v02pp01
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author = {Prof. h.c. Dietmar Pfaff and European Polytechnical University, Pernik, Bulgaria and Email: dp@dietmar-pfaff.de and Dr. phil. Patrick Hedfeld and FOM Frankfurt – University of Applied Sciences, Germany and Email: patrick.hedfeld@gmx.de},
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