منابع مشابه
Forecasting Uncertainty in Electricity Demand
Generalized Additive Models (GAM) are a widely popular class of regression models to forecast electricity demand, due to their high accuracy, flexibility and interpretability. However, the residuals of the fitted GAM are typically heteroscedastic and leptokurtic caused by the nature of energy data. In this paper we propose a novel approach to estimate the time-varying conditional variance of th...
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متن کاملFORECASTING TRANSPORT ENERGY DEMAND IN IRAN USING META-HEURISTIC ALGORITHMS
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ژورنال
عنوان ژورنال: Resources Policy
سال: 1991
ISSN: 0301-4207
DOI: 10.1016/0301-4207(91)90003-e