A comparison of various forecasting techniques applied to mean hourly wind speed time series

A. Sfetsos

Renewable Energy, 2000, vol. 21, issue 1, 23-35

Abstract: This paper presents a comparison of various forecasting approaches, using time series analysis, on mean hourly wind speed data. In addition to the traditional linear (ARMA) models and the commonly used feed forward and recurrent neural networks, other approaches are also examined including the Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Neural Logic Networks. The developed models are evaluated for their ability to produce accurate and fast forecasts.

Keywords: Wind speed; Time series; Forecasting; Neural networks (search for similar items in EconPapers)
Date: 2000
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Citations: View citations in EconPapers (68)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:21:y:2000:i:1:p:23-35

DOI: 10.1016/S0960-1481(99)00125-1

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