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http://tailieuso.udn.vn/handle/TTHL_125/9689Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Truong, Thi Thu Ha | - |
| dc.contributor.author | Ngo, Ngoc Tri | - |
| dc.contributor.author | Tang, Thi Khanh Vy | - |
| dc.date.accessioned | 2019-04-02T08:17:56Z | - |
| dc.date.available | 2019-04-02T08:17:56Z | - |
| dc.date.issued | 2018 | - |
| dc.date.submitted | 2018 | - |
| dc.identifier.issn | 1859-1531 | - |
| dc.identifier.uri | http://tailieuso.udn.vn/handle/TTHL_125/9689 | - |
| dc.description | The University of Danang, Journal of Science and Technology, No.11(132).2018, Vol.2; PP. 108 – 112. | en |
| dc.language.iso | en | en |
| dc.publisher | The University of Danang | en |
| dc.source | The University of Danang | en |
| dc.subject | Load consumption | en |
| dc.subject | Forecast accuracy | en |
| dc.subject | Moving-window concept | en |
| dc.subject | Swarm intelligence | en |
| dc.subject | Support vector machines | en |
| dc.title | Electric load consumption forecasting in Da Nang city using a hybrid of moving-window concept and swarm intelligence-optimized machine learning regression | en |
| dc.title.alternative | Dự báo sự tiêu thụ điện ở thành phố Đà Nẵng sử dụng mô hình kết hợp cửa sổ dịch chuyển và hồi quy máy học được tối ưu bởi trí tuệ bầy đàn | en |
| dc.type | Article | en |
| Appears in Collections: | 2018 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ElectricLoad.TT.pdf | Abstracts | 77.31 kB | Adobe PDF | View/Open |
| ElectricLoad.TV.pdf | Contents | 408.21 kB | Adobe PDF | View/Open Request a copy |
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