Kochai, Spinghar (A.A. 2024/2025) Optimizing renewable energy systems using artificial intelligence: powering a smarter and greener future. Tesi di Laurea in Algorithmis, Luiss Guido Carli, relatore Irene Finocchi, pp. 62. [Bachelor's Degree Thesis]

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Abstract/Index

Literature review. Background and context. AI techniques in renewable energy. AI approaches in renewable energy. Datasets that are frequently used in AI Models for renewable energy. Gaps and future direction despite the progress, several challenges persist. The advancement of renewable energy systems depends on AI. Methodology. Research design and approach. Literature search strategy. Inclusion and exclusion criteria. Data collection and extraction. Thematic analysis and classification. Results. Adoption of AI techniques across the sector. AI application in renewable energy: functional domains. Economic and environmental benefits. Dataset utilization in AI models. Discussion. Overview and synthesis of key findings. Challenges and limitations of AI in renewable energy systems. Future direction and emerging frontiers of AI in RES. Satellite architecture and AI capabilities. Wireless power transmission to earth. Current developments and pilot demonstrations. Ai-driven advances in renewable energy systems.

References

Bibliografia: pp. 59-62.

Thesis Type:	Bachelor's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18)
Chair:	Algorithmis
Thesis Supervisor:	Finocchi, Irene
Academic Year:	2024/2025
Session:	Autumn
Deposited by:	Alessandro Perfetti
Date Deposited:	28 Apr 2026 07:07
Last Modified:	28 Apr 2026 07:07
URI:	https://tesi.luiss.it/id/eprint/45512

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