Hilbert-Huang Transform Theory Applied in Electricity Loading Forecast
| Autor: | Shih-Wen Liu, 劉世文 |
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| Rok vydání: | 2017 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 105 Electricity generation is a fundamental element for national development. In order to avoid any wastage of resources and energy shortage, an accurate loading forecast can provide the system with the correct schedule and planning. In this study, the essential method of Hilbert Huang Transform (HHT) is used to analyze the electric load data by empirical mode decomposition (EMD). The best prediction level can be found out through experimental observations at the intrinsic mode functions of the electric load with the variance of temperature. This study comes out an effective way to manage fluctuation time and trend of electric load. The empirical implication of this study is to correct the existing drawbacks of inspection schedule by the equipment maintenance cycle and loading forecast. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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