| Trường DC | Giá trị | Ngôn ngữ |
|---|---|---|
| dc.contributor.author | Maria, Jacob | - |
| dc.contributor.author | Cláudia, Neves | - |
| dc.contributor.author | Danica, Vukadinović Greetham | - |
| dc.date.accessioned | 2023-11-09T02:30:35Z | - |
| dc.date.available | 2023-11-09T02:30:35Z | - |
| dc.date.issued | 2020 | - |
| dc.identifier.uri | https://dlib.neu.edu.vn/handle/NEU/58815 | - |
| dc.description | Mathematics | - |
| dc.description | Mathematics | - |
| dc.description | Statistics | - |
| dc.description | Energy efficiency | - |
| dc.description | Algorithms | - |
| dc.description | Energy systems | - |
| dc.description.abstract | The overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction of electric demand peaks. A cross-section of popular demand forecasting algorithms from statistics, machine learning and mathe | - |
| dc.description.uri | Attribution 4.0 International (CC BY 4.0) | - |
| dc.language.iso | eng | - |
| dc.publisher | Springer Nature | - |
| dc.title | Forecasting and Assessing Risk of Individual Electricity Peaks | - |
| dc.type | OER | - |
Bộ sưu tập | Toán - Tin - Thống kê (New) | |
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| Trường DC | Giá trị | Ngôn ngữ |
|---|---|---|
| dc.contributor.author | Maria, Jacob | - |
| dc.contributor.author | Cláudia, Neves | - |
| dc.contributor.author | Danica, Vukadinović Greetham | - |
| dc.date.accessioned | 2023-11-09T02:30:35Z | - |
| dc.date.available | 2023-11-09T02:30:35Z | - |
| dc.date.issued | 2020 | - |
| dc.identifier.uri | https://dlib.neu.edu.vn/handle/NEU/58815 | - |
| dc.description | Mathematics | - |
| dc.description | Mathematics | - |
| dc.description | Statistics | - |
| dc.description | Energy efficiency | - |
| dc.description | Algorithms | - |
| dc.description | Energy systems | - |
| dc.description.abstract | The overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction of electric demand peaks. A cross-section of popular demand forecasting algorithms from statistics, machine learning and mathe | - |
| dc.description.uri | Attribution 4.0 International (CC BY 4.0) | - |
| dc.language.iso | eng | - |
| dc.publisher | Springer Nature | - |
| dc.title | Forecasting and Assessing Risk of Individual Electricity Peaks | - |
| dc.type | OER | - |
Bộ sưu tập | Toán - Tin - Thống kê (New) | |
