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    Actual IJPSC Journals: Download Journal V01

    All issues are also available as print copies. As an educator, there are few things more rewarding than witnessing students develop their academic potential, ask meaningful questions, and engage in research that contributes to solving real-world problems. At Mittweida University of Applied Sciences, we have always believed in the transformative power of education, and through the Ukraine-Digital project, we have had the opportunity to support students in their pursuit of knowledge and scientific discovery.

    • ISSN: 2941-5691 (Online)
    • ISSN: 2941-5705 (Print)
    • doi: 10.61030/

SMARTAI ENERGY: Artificial Intelligence for the Optimization of Renewable Energies – Education, Research and Future Prospects

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, 2(PP01). https://doi.org/10.61030/IJPSC.25.v02pp01​

Full Article (PDF)

https://ijpsc.org/journal/v02/pp/01.pdf

Metadata and Info

  • DOI: https://doi.org/10.61030/IJPSC.25.v02pp01
  • Published: 2025
  • License: CC BY 4.0 (if applicable)
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