Short-Term Wind Power Forecasting with Combined Prediction Based on Chaotic Analysis

• Autorzy: Dong L. , Gao S. , Liao X. , Gao Y.

Warianty tytułu

PL

Krótkoterminowa prognoza mocy elektrowni wiatrowych bazująca na teorii chaosu

• Języki publikacji: EN

Abstrakty

EN

With the integration of wind energy into electricity grids, it is becoming increasingly important to obtain accurate wind power forecasts. In this paper, models for short-term wind power prediction in large wind farms are discussed. The analysis of modeling with low dimensions nonlinear dynamics indicates that wind power time series have chaotic characteristics and wind power can be predicted in the short-term. The wind power prediction models are built with phase space reconstruction method and the combination model with different embedding dimensions is tested.

PL

Opisano metodę krótkoterminowego prognozowania mocy elektrowni wiatrowych bazującą na chaotycznym charakterze wiatru w krótkich odstępach czasu.

Słowa kluczowe

EN

wind power generation; Chaotic Characteristic; phase space reconstruction

PL

sieci elektrowni wiatrowych

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 5b
• Strony: 35--39
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Dong L.

autor

Gao S.

autor

Liao X.

autor

Gao Y.

• Beijing Institute of Technology

Bibliografia

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