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Energy conversion systems-based artificial intelligenceapplications and tools /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Energy conversion systems-based artificial intelligenceedited by Mahmoud A. Mossa ... [et al.].
其他題名:	applications and tools /
其他作者:	Mossa, Mahmoud A.
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	xv, 223 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence.
電子資源:	https://doi.org/10.1007/978-981-96-2665-6
ISBN:	9789819626656$q(electronic bk.)

Energy conversion systems-based artificial intelligenceapplications and tools /
Energy conversion systems-based artificial intelligenceapplications and tools /[electronic resource] :edited by Mahmoud A. Mossa ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xv, 223 p. :ill., digital ;24 cm. - Energy systems in electrical engineering,2199-8590. - Energy systems in electrical engineering..

Artificial Intelligence Techniques for Energy Conversion Systems -- An Overview of Artificial Intelligence Solutions for the Maintenance and Evaluation of Photovoltaic Systems -- Topologies and Control Technologies of Wind Energy Conversion System -- A Robust DDTC Scheme based on Artificial Neural Networks and Genetic Algorithm for Wind Power Generation -- Intelligent Control of DFIG Based Wind Energy Conversion Systems using Artificial Intelligence Techniques.

This book aims to propose advanced solutions based on artificial intelligence techniques for ECS in order to increase energy efficiency, ensure the safety of the ECS, and to improve the quality of the energy supplied to the grid. The efficiency and quality of the electrical energy produced depends mainly on the structure and efficiency of the control technology developed for the Energy Conversion System (ECS). To improve the performance of ECSs, it is interesting to design control systems that emulate some functions performed by the human brain. Among these interesting functions are self-adaptation, learning, flexibility of operation and planning in the presence of large uncertainties and with minimal information. Based on these aspects, artificial intelligence (AI) techniques can be developed and applied to solve the different control problems of ECSs. For academics, professionals, practitioners, and graduate students interested in the most recent research on the application of AI in ECS, it is the ideal reference source.

ISBN: 9789819626656$q(electronic bk.)

Standard No.: 10.1007/978-981-96-2665-6doiSubjects--Topical Terms:

194058
Artificial intelligence.

LC Class. No.: TA347.A78

Dewey Class. No.: 006.3

Energy conversion systems-based artificial intelligenceapplications and tools /
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