Application of Artificial Intelligence in Power System Monitoring and Fault Diagnosis
Emerging technologies such as artificial intelligence (AI), big data analytics, and deep learning have received widespread attention in recent years and have shown great potential for application in many industrial fields. In power systems, AI and related technologies are also being used as new powe...
Gespeichert in:
| Format: | Online |
|---|---|
| Sprache: | Englisch |
| Veröffentlicht: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
|
| Schlagworte: | |
| Online-Zugang: | ONIX_20230911_9783036584102_80 |
| Tags: |
Keine Tags, Fügen Sie das erste Tag hinzu!
|
| _version_ | 1869516710181076992 |
|---|---|
| collection | Directory of Open Access Books |
| description | Emerging technologies such as artificial intelligence (AI), big data analytics, and deep learning have received widespread attention in recent years and have shown great potential for application in many industrial fields. In power systems, AI and related technologies are also being used as new powerful tools that are gradually replacing the traditional techniques of feature modeling, performance control, and fault diagnosis, with better results. This reprint consists of 10 articles, all of which are authored by experts in the related fields, reporting the results of the latest research on the application of AI techniques in power systems, focusing on several novel and fascinating approaches to power system modeling and control, state estimation, performance diagnosis and prognosis. |
| format | Online |
| id | doab-20.500.12854ir-113947 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1139472024-04-09T23:15:58Z Application of Artificial Intelligence in Power System Monitoring and Fault Diagnosis Wang, Guang Xie, Jiale Wang, Shunli artificial intelligence, big data analytics, deep learning, power system, modeling and control, diagnosis and prognosis thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Emerging technologies such as artificial intelligence (AI), big data analytics, and deep learning have received widespread attention in recent years and have shown great potential for application in many industrial fields. In power systems, AI and related technologies are also being used as new powerful tools that are gradually replacing the traditional techniques of feature modeling, performance control, and fault diagnosis, with better results. This reprint consists of 10 articles, all of which are authored by experts in the related fields, reporting the results of the latest research on the application of AI techniques in power systems, focusing on several novel and fascinating approaches to power system modeling and control, state estimation, performance diagnosis and prognosis. 2023-09-11T12:08:16Z 2023-09-11T12:08:16Z 2023 book ONIX_20230911_9783036584102_80 9783036584102 9783036584119 https://directory.doabooks.org/handle/20.500.12854/113947 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/7791 https://mdpi.com/books/pdfview/book/7791 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-8411-9 10.3390/books978-3-0365-8411-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036584102 9783036584119 180 open access |
| spellingShingle | artificial intelligence, big data analytics, deep learning, power system, modeling and control, diagnosis and prognosis thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Application of Artificial Intelligence in Power System Monitoring and Fault Diagnosis |
| title | Application of Artificial Intelligence in Power System Monitoring and Fault Diagnosis |
| title_full | Application of Artificial Intelligence in Power System Monitoring and Fault Diagnosis |
| title_fullStr | Application of Artificial Intelligence in Power System Monitoring and Fault Diagnosis |
| title_full_unstemmed | Application of Artificial Intelligence in Power System Monitoring and Fault Diagnosis |
| title_short | Application of Artificial Intelligence in Power System Monitoring and Fault Diagnosis |
| title_sort | application of artificial intelligence in power system monitoring and fault diagnosis |
| topic | artificial intelligence, big data analytics, deep learning, power system, modeling and control, diagnosis and prognosis thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | artificial intelligence, big data analytics, deep learning, power system, modeling and control, diagnosis and prognosis thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20230911_9783036584102_80 |