A variance inflation factor and backward elimination based robust regression model for forecasting monthly electricity demand using climatic variables

•Multicollinearity analysis is used to exclude the redundant explanatory variables.•Backward elimination regression analysis is used to remove insignificant variables.•The dominant variables are employed to forecast monthly electricity demand.•A case study is conducted for NSW, Australia to validate...

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Veröffentlicht in:	Applied energy 2015-02, Vol.140, p.385-394
Hauptverfasser:	Vu, D.H., Muttaqi, K.M., Agalgaonkar, A.P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Climatic variables Demand analysis Electricity Electricity consumption Electricity demand Electricity forecasting Forecasting Low level Mathematical models Multicollinearity Multiple regression Regression Regression analysis Variance
Online-Zugang:	Volltext
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