Machine learning applications for smart grid's operation
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/172697 |
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sg-ntu-dr.10356-1726972023-12-22T15:44:11Z Machine learning applications for smart grid's operation Chu, Hong Jit Hung Dinh Nguyen School of Electrical and Electronic Engineering hunghtd@ntu.edu.sg Engineering::Electrical and electronic engineering::Electric power . Bachelor of Engineering (Electrical and Electronic Engineering) 2023-12-18T06:47:06Z 2023-12-18T06:47:06Z 2023 Final Year Project (FYP) Chu, H. J. (2023). Machine learning applications for smart grid's operation. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/172697 https://hdl.handle.net/10356/172697 en A1181-222 application/pdf Nanyang Technological University |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NTU Library |
| collection |
DR-NTU |
| language |
English |
| topic |
Engineering::Electrical and electronic engineering::Electric power |
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Engineering::Electrical and electronic engineering::Electric power Chu, Hong Jit Machine learning applications for smart grid's operation |
| description |
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| author2 |
Hung Dinh Nguyen |
| author_facet |
Hung Dinh Nguyen Chu, Hong Jit |
| format |
Final Year Project |
| author |
Chu, Hong Jit |
| author_sort |
Chu, Hong Jit |
| title |
Machine learning applications for smart grid's operation |
| title_short |
Machine learning applications for smart grid's operation |
| title_full |
Machine learning applications for smart grid's operation |
| title_fullStr |
Machine learning applications for smart grid's operation |
| title_full_unstemmed |
Machine learning applications for smart grid's operation |
| title_sort |
machine learning applications for smart grid's operation |
| publisher |
Nanyang Technological University |
| publishDate |
2023 |
| url |
https://hdl.handle.net/10356/172697 |
| _version_ |
1787136824870699008 |