Advanced Engineering, Technology and Applications on Power Systems
Selected papers from ICAETA25
Buch in deiner Nähe kaufen
Beschreibung
This book presents the proceedings of the 4th International Conference on Advanced Engineering, Technology, and Applications in Power Systems (ICAETA25), held at Shenyang University of Technology, Liaoning, China, from July 31 to August 1, 2025. It features cutting-edge research and practical innovations addressing real-world challenges in power systems, with a strong emphasis on the latest developments in artificial intelligence, machine learning, big data, cloud computing, the Internet of Things, and sensor technologies. Readers will find state-of-the-art models, benchmark datasets, and insightful analyses that bridge theoretical advancements with applied engineering solutions, offering a comprehensive view of how intelligent technologies are transforming the power sector and related domains.
This book presents the proceedings of the 4th International Conference on Advanced Engineering, Technology, and Applications in Power Systems (ICAETA25), held at Shenyang University of Technology, Liaoning, China, from July 31 to August 1, 2025. It features cutting-edge research and practical innovations addressing real-world challenges in power systems, with a strong emphasis on the latest developments in artificial intelligence, machine learning, big data, cloud computing, the Internet of Things, and sensor technologies. Readers will find state-of-the-art models, benchmark datasets, and insightful analyses that bridge theoretical advancements with applied engineering solutions, offering a comprehensive view of how intelligent technologies are transforming the power sector and related domains.
Features advanced research on AI, IoT, big data, and cloud computing in real-world scenarios Highlights cutting-edge AI techniques and applications, with a focus on power systems Showcases actionable insights for AI-driven engineering solutions
Autor*in
Fausto Pedro Garcia Márquez
Themen in »Advanced Engineering, Technology and Applications on Power Systems«
Data Science Artificial Intelligence Machine Learning Natural Language Processing Deep Learning Internet of Things Big Data Analytics Software Engineering Power Systems