Abstract
The time series of wind power generating capacity were examined by nonlinear dynamical methods, in order to identify chaos characteristic from its random-like waveform. The analysis of modeling with low dimensions nonlinear dynamics indicated that time series of wind power generation capacity have chaos characteristic, and wind power generating capacity can be predicted in short time.
| Original language | English |
|---|---|
| Pages (from-to) | 1290-1294 |
| Number of pages | 5 |
| Journal | Taiyangneng Xuebao/Acta Energiae Solaris Sinica |
| Volume | 28 |
| Issue number | 11 |
| Publication status | Published - Nov 2007 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Capacity prediction
- Chaos characteristics
- Wind power
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