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In present day scenario statistical (time series) and physical (NWP) models are utilized for wind power forecasting and many of them are using neural networks to obtain greater accuracy of wind power prediction at final stage. In a time series framework, forecasting is categorised into two ways single step ahead and multi-step ahead. In this paper an advanced time-series model for multi-step ahead...
This paper presents a comparison of three different classes of artificial neural networks (ANN) for multi-step ahead time series forecasting of wind power. The neural network needs past wind generation measurement as an input. For time series prediction, the time lag data pattern is required & for this purpose the statistical tool called autocorrelation function (ACF) facilitates to work out on...
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