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Proceedings of the 1st Electrical Ar...

Electrical Artificial Intelligence Conference (2024 :)

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Proceedings of the 1st Electrical Artificial Intelligence Conference. = EAIC 2024, 6-8 December, Nanjing, China /. Volume 1

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Proceedings of the 1st Electrical Artificial Intelligence Conference./ edited by Ronghai Qu ... [et al.].
其他題名:	EAIC 2024, 6-8 December, Nanjing, China /
其他題名:	EAIC 2024
其他作者:	Qu, Ronghai.
團體作者:	Electrical Artificial Intelligence Conference
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	vii, 242 p. :ill. (chiefly color), digital ;24 cm.
內容註:	Chapter 1. Intelligent Layout and Routing of Power Electronic Converters: A Technical Review and Cutting-edge Exploration -- Chapter 2. Economic Optimal Scheduling of Integrated Energy System based on improved DQN algorithm -- Chapter 3. Research and Simulation on Fault Location of Multi branch Distribution Network Based on Micro PMU -- Chapter 4. An Intelligent Optimization Method for Transcranial Magnetic Stimulation Waveforms to Improve Stimulation Selectivity.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Engineering applications -
電子資源:	https://doi.org/10.1007/978-981-96-4856-6
ISBN:	9789819648566

Proceedings of the 1st Electrical Artificial Intelligence Conference. = EAIC 2024, 6-8 December, Nanjing, China /. Volume 1
Proceedings of the 1st Electrical Artificial Intelligence Conference.EAIC 2024, 6-8 December, Nanjing, China /Volume 1[electronic resource] :EAIC 2024edited by Ronghai Qu ... [et al.]. - Singapore :Springer Nature Singapore :2025. - vii, 242 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in electrical engineering,13941876-1119 ;. - Lecture notes in electrical engineering ;1394..

Chapter 1. Intelligent Layout and Routing of Power Electronic Converters: A Technical Review and Cutting-edge Exploration -- Chapter 2. Economic Optimal Scheduling of Integrated Energy System based on improved DQN algorithm -- Chapter 3. Research and Simulation on Fault Location of Multi branch Distribution Network Based on Micro PMU -- Chapter 4. An Intelligent Optimization Method for Transcranial Magnetic Stimulation Waveforms to Improve Stimulation Selectivity.

Open access.

This open access book is the first volume of proceedings of the 1st Electrical Artificial Intelligence Conference (EAIC 2024). Artificial intelligence and low-carbon economy are two vibrant research fields in the world today. To achieve the goal of carbon neutrality not only signifies a significant transformation in the economic growth mode and a profound adjustment of energy systems but also has equally significant implications for the global economic and social transformation. In the wave of the rapid development of digital economy, artificial intelligence has become an important driving force for promoting high-quality economic and social development. In the path to the "dual carbon" goals, which are the "peak carbon dioxide emissions" goal and the "carbon neutrality" goal, artificial intelligence will play an important role, especially in energy conservation and carbon reduction in the electrical field, which is worthy of in-depth exploration and research. In order to promote the deep integration of the electrical engineering and artificial intelligence, successfully achieve the "dual carbon" goals, and promote green, low-carbon, and high-quality development, the China Electrotechnical Society and relevant units jointly held the 1st Electrical Artificial Intelligence Conference in Nanjing, China during the December 6-8, 2024. The conference invited well-known experts with significant influence in the fields of electrical engineering and artificial intelligence to jointly explore the application of artificial intelligence in the optimization design, fault diagnosis, intelligent control, and optimized operation of electrical equipment, promote the integration of artificial intelligence innovations and various application scenarios, and actively lead the trend of technological innovation.

ISBN: 9789819648566

Standard No.: 10.1007/978-981-96-4856-6doiSubjects--Topical Terms:

2073671
Artificial intelligence
--Engineering applications

LC Class. No.: TK5

Dewey Class. No.: 621.3

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