eBook
Proceedings of the 1st Electrical Artificial Intelligence Conference, Volume 4
| Title: | Proceedings of the 1st Electrical Artificial Intelligence Conference, Volume 4 |
|---|---|
| Description: | This book is the fourth 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 6th~8th December, 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. |
| Authors: | Ronghai Qu, Zhengxiang Song, Zhiming Ding, Gang Mu, Rui Xiong |
| Resource Type: | eBook. |
| Subjects: | Artificial intelligence--Engineering applications--Congresses, Electrical engineering--Data processing--Congresses, Electrical engineering, Electric power production |
| Categories: | TECHNOLOGY & ENGINEERING / Electrical, COMPUTERS / Artificial Intelligence / General, TECHNOLOGY & ENGINEERING / Power Resources / General, TECHNOLOGY & ENGINEERING / Power Resources / Electrical |
| Database: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 4185896 RelevancyScore: 981 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 981.043701171875 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Proceedings of the 1st Electrical Artificial Intelligence Conference, Volume 4 – Name: Abstract Label: Description Group: Ab Data: This book is the fourth 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 6th~8th December, 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ronghai+Qu%22">Ronghai Qu</searchLink><br /><searchLink fieldCode="AR" term="%22Zhengxiang+Song%22">Zhengxiang Song</searchLink><br /><searchLink fieldCode="AR" term="%22Zhiming+Ding%22">Zhiming Ding</searchLink><br /><searchLink fieldCode="AR" term="%22Gang+Mu%22">Gang Mu</searchLink><br /><searchLink fieldCode="AR" term="%22Rui+Xiong%22">Rui Xiong</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence--Engineering+applications--Congresses%22">Artificial intelligence--Engineering applications--Congresses</searchLink><br /><searchLink fieldCode="DE" term="%22Electrical+engineering--Data+processing--Congresses%22">Electrical engineering--Data processing--Congresses</searchLink><br /><searchLink fieldCode="DE" term="%22Electrical+engineering%22">Electrical engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+production%22">Electric power production</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Electrical%22">TECHNOLOGY & ENGINEERING / Electrical</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink><br /><searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Power+Resources+%2F+General%22">TECHNOLOGY & ENGINEERING / Power Resources / General</searchLink><br /><searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Power+Resources+%2F+Electrical%22">TECHNOLOGY & ENGINEERING / Power Resources / Electrical</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 621.3 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Artificial intelligence--Engineering applications--Congresses Type: general – SubjectFull: Electrical engineering--Data processing--Congresses Type: general – SubjectFull: Electrical engineering Type: general – SubjectFull: Electric power production Type: general Titles: – TitleFull: Proceedings of the 1st Electrical Artificial Intelligence Conference, Volume 4 Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ronghai Qu – PersonEntity: Name: NameFull: Zhengxiang Song – PersonEntity: Name: NameFull: Zhiming Ding – PersonEntity: Name: NameFull: Gang Mu – PersonEntity: Name: NameFull: Rui Xiong – PersonEntity: Name: NameFull: Ronghai Qu – PersonEntity: Name: NameFull: Zhengxiang Song – PersonEntity: Name: NameFull: Zhiming Ding – PersonEntity: Name: NameFull: Gang Mu – PersonEntity: Name: NameFull: Rui Xiong IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 – D: 14 M: 04 Type: profile Y: 2025 Identifiers: – Type: isbn-print Value: 9789819640584 – Type: isbn-electronic Value: 9789819640591 Numbering: – Type: volume Value: 00004 Titles: – TitleFull: Proceedings of the 1st Electrical Artificial Intelligence Conference, Volume 4 Type: main |
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