ARMA based approaches for forecasting the tuple of wind speed and direction

Short-term forecasting of wind speed and direction is of great importance to wind turbine operation and efficient energy harvesting. In this study, the forecasting of wind speed and direction tuple is performed. Four approaches based on autoregressive moving average (ARMA) method are employed for th...

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Bibliographic Details
Published in:	Applied energy Vol. 88; no. 4; pp. 1405 - 1414
Main Authors:	Erdem, Ergin, Shi, Jing
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier Ltd 01.04.2011 Elsevier
Series:	Applied Energy
Subjects:	Applied sciences ARMA Combined forecasting Combined forecasting Wind speed Wind direction ARMA Vector autoregression Energy energy efficiency Error analysis Exact sciences and technology Forecasting Mathematical analysis Mathematical models Natural energy North Dakota prediction VAR Vector autoregression Vectors (mathematics) Wind direction Wind energy Wind speed Wind turbines North Dakota USA, North Dakota Wind direction Vector autoregression ARMA Wind speed Combined forecasting
ISSN:	0306-2619, 1872-9118
Online Access:	Get full text
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