Fay, Damien and Ringwood, John and Condon, Marissa and Kelly, Michael
(2003)
24-h electrical load data — a sequential or partitioned time series?
Neurocomputing, 55 (3-4).
pp. 469-498.
ISSN 0925-2312
Abstract
Variations in electrical load are, among other things, hour of the day dependent, introducing a dilemma for the forecaster: whether to partition the data and use a separate model for each hour of the day (the parallel approach), or use a single model (the sequential approach). This paper examines which approach is appropriate for forecasting hourly electrical load in Ireland. It is found that, with the exception of some hours of the day, the sequential approach is superior. The final solution however, uses a combination of linear sequential and parallel neural models in a multi-time scale formulation.
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