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This book comprises a selection of papers presented at the International Conference of Sustainable Electrical Engineering and Intelligent Systems (ICSEEIS 2025). It presents a rich repository of groundbreaking research at the intersection of artificial intelligence and electrical engineering for a sustainable future.
The papers in this collection touch upon a wide array of topics including developments in smart grid technologies, machine learning applications for power system optimization, and the integration of renewable energy. This volume also provides an in-depth analysis of intelligent control systems, energy efficiency, and the use of AI to solve the problems of sustainable energy management. Readers can expect to find the latest advances in fault detection, predictive maintenance, and the creation of strong and resilient electrical infrastructure in this book. The findings would be instrumental in fostering a deeper understanding of intelligent and sustainable electrical systems and building a firm knowledge base for further innovation.
This is a valuable resource for researchers, engineers, and professionals in the field of computer science and electrical engineering. It offers state-of-the-art research and useful solutions to those interested in creating and putting into practice intelligent and sustainable energy solutions.
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This book comprises a selection of papers presented at the International Conference of Sustainable Electrical Engineering and Intelligent Systems (ICSEEIS 2025). It presents a rich repository of groundbreaking research at the intersection of artificial intelligence and electrical engineering for a sustainable future.
The papers in this collection touch upon a wide array of topics including developments in smart grid technologies, machine learning applications for power system optimization, and the integration of renewable energy. This volume also provides an in-depth analysis of intelligent control systems, energy efficiency, and the use of AI to solve the problems of sustainable energy management. Readers can expect to find the latest advances in fault detection, predictive maintenance, and the creation of strong and resilient electrical infrastructure in this book. The findings would be instrumental in fostering a deeper understanding of intelligent and sustainable electrical systems and building a firm knowledge base for further innovation.
This is a valuable resource for researchers, engineers, and professionals in the field of computer science and electrical engineering. It offers state-of-the-art research and useful solutions to those interested in creating and putting into practice intelligent and sustainable energy solutions.