Chaos characteristic analysis on the time series of wend power generation capacity

Lei Dong; Shuang Gao; Xiaozhong Liao; Chengbo Feng

Chaos characteristic analysis on the time series of wend power generation capacity

Lei Dong^*, Shuang Gao, Xiaozhong Liao, Chengbo Feng

^*Corresponding author for this work

School of Automation

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

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

Keywords

Capacity prediction
Chaos characteristics
Wind power

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@article{2b0b64a3c35043209ade41d7d9798334,

title = "Chaos characteristic analysis on the time series of wend power generation capacity",

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.",

keywords = "Capacity prediction, Chaos characteristics, Wind power",

author = "Lei Dong and Shuang Gao and Xiaozhong Liao and Chengbo Feng",

year = "2007",

month = nov,

language = "English",

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pages = "1290--1294",

journal = "Taiyangneng Xuebao/Acta Energiae Solaris Sinica",

issn = "0254-0096",

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TY - JOUR

T1 - Chaos characteristic analysis on the time series of wend power generation capacity

AU - Dong, Lei

AU - Gao, Shuang

AU - Liao, Xiaozhong

AU - Feng, Chengbo

PY - 2007/11

Y1 - 2007/11

N2 - 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.

AB - 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.

KW - Capacity prediction

KW - Chaos characteristics

KW - Wind power

UR - http://www.scopus.com/inward/record.url?scp=37449007708&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:37449007708

SN - 0254-0096

VL - 28

SP - 1290

EP - 1294

JO - Taiyangneng Xuebao/Acta Energiae Solaris Sinica

JF - Taiyangneng Xuebao/Acta Energiae Solaris Sinica

IS - 11

ER -

Chaos characteristic analysis on the time series of wend power generation capacity

Abstract

Keywords

UN SDGs

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