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Showing 1 to 2 of 2 for “"multiple seasonalities"”.
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Detecting Irregular Energy Consumption Through Analytical Techniques
… were heavily influenced by the presence of multiple seasonalities and heteroskedasticity. Most established time series methods were developed on the assumption that the errors are<br/>homoskedastic, hence the prediction limits that are created from such established method will often fail in …
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Four essays on statistical modelling of environmental data
… stylized facts of the underlying series such as multiple seasonal cycles. While aggregation reduces complexity, commonly used aggregates can suffer from non-representativeness or non-robustness. For example, definitions of specific events such as extremes are subjective and may be prone to data …