Household load forecasting
Forecasting is one of the few requirements for a successful energy management system applications. In a data-driven analytics application such as forecasting, data pre-processing, manual or automatic data features extraction and machine learning techniques are some of the main components requires i...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/141314 |
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sg-ntu-dr.10356-1413142023-07-04T16:54:16Z Household load forecasting Ao, Boyu Xu Yan School of Electrical and Electronic Engineering Xu Yan xuyan@ntu.edu.sg Engineering::Electrical and electronic engineering Forecasting is one of the few requirements for a successful energy management system applications. In a data-driven analytics application such as forecasting, data pre-processing, manual or automatic data features extraction and machine learning techniques are some of the main components requires in a data science related works. This project aims to develop a AI method for electricity load forecasting at the household level. Master of Science (Power Engineering) 2020-06-07T13:33:32Z 2020-06-07T13:33:32Z 2020 Thesis-Master by Coursework https://hdl.handle.net/10356/141314 en application/pdf Nanyang Technological University |
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Nanyang Technological University |
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NTU Library |
| continent |
Asia |
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Singapore Singapore |
| content_provider |
NTU Library |
| collection |
DR-NTU |
| language |
English |
| topic |
Engineering::Electrical and electronic engineering |
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Engineering::Electrical and electronic engineering Ao, Boyu Household load forecasting |
| description |
Forecasting is one of the few requirements for a successful energy management system applications. In a data-driven analytics application such as forecasting, data pre-processing, manual or automatic data features extraction and machine learning techniques are some of the main components requires in a data science related works. This project aims to develop a AI method for electricity load forecasting at the household level. |
| author2 |
Xu Yan |
| author_facet |
Xu Yan Ao, Boyu |
| format |
Thesis-Master by Coursework |
| author |
Ao, Boyu |
| author_sort |
Ao, Boyu |
| title |
Household load forecasting |
| title_short |
Household load forecasting |
| title_full |
Household load forecasting |
| title_fullStr |
Household load forecasting |
| title_full_unstemmed |
Household load forecasting |
| title_sort |
household load forecasting |
| publisher |
Nanyang Technological University |
| publishDate |
2020 |
| url |
https://hdl.handle.net/10356/141314 |
| _version_ |
1772826779673690112 |