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ReserarchID
AZB2D
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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This paper attempted to assess the attitudes of students in
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Inclusion has become a priority on the global educational agenda,
Australia is a leading developed country which is indispensable a proper planning and management of power generation. To take a unique planning decision forecasting of electricity production is badly in need so that electricity generation copes with the demand of the electricity smoothly. The main task of this study is to assess the performance of two time series models in forecasting electricity generation in Australia. Two time series forecasting methods such as ARIMA and Holt-Winter’s additive trend and seasonality smoothing methods are considered. Applying Theil’s U-statistic as the key performance measure, the study concludes that Holtwinter’s method is more appropriate model.
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