A hybrid artificial-based model for accurate short term electric load prediction

This paper aims to propose a novel hybrid intelligent linear-nonlinear load forecasting model which takes into account both linearity and nonlinearity of load time series as a requirement of precise forecasting. The linear part of the time series is forecasted by the Auto Regressive Integrated Movin...

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Veröffentlicht in:	Journal of intelligent & fuzzy systems 2014, Vol.27 (6), p.3103-3110
Hauptverfasser:	Saleh, Sadreddin, Mohammadi, Sirus, Rostami, Mohammad-Amin, Askari, Mohammad-Reza
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Linearity Mathematical models Methodology Nonlinearity Optimization Statistical analysis Time series Trapping
Online-Zugang:	Volltext
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