Artificial Intelligence (AI) for Energy Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 10 September 2024 | Viewed by 114
Special Issue Editor
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) is revolutionising green energy systems, finding optimal operation solutions, improved material and component performance, energy efficiency, and enabling smarter decision-making for the progression of different stages of research-based development. In the realm of sustainable energy solutions, AI algorithms process a vast amount of data based on both experimental and numerical methods to predict patterns and parametric relationships, optimise multiphysics efficiency, and manage resources effectively. Physics-based machine learning techniques enable the predictive optimization of processes, reducing downtime and costs. AI-assisted innovative concepts and systems also facilitate the coupling and effective assessment of integrated clean energy technologies. Additionally, human–machine interactions have the potential to develop and evaluate high-performance materials. These advancements not only safely increase reliability and resilience, but they also pave the way for a more sustainable and environmentally friendly energy future, with smaller carbon footprints and fewer wasted resources. AI’s transformative capabilities are promising for addressing complex challenges and driving innovation across transdisciplinary sectors.
Dr. Murphy M. Peksen
Guest Editor
Manuscript Submission Information
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Keywords
- machine learning
- AI
- hydrogen
- clean energy
- optimisation
- HP materials
- multiphysics
