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Forecasting electricity consumption with structural time series models

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dc.contributor.author Walkington, Mark Thomas
dc.date.accessioned 2011-07-13T21:04:28Z
dc.date.accessioned 2022-10-27T00:36:46Z
dc.date.available 2011-07-13T21:04:28Z
dc.date.available 2022-10-27T00:36:46Z
dc.date.copyright 1990
dc.date.issued 1990
dc.identifier.uri https://ir.wgtn.ac.nz/handle/123456789/25326
dc.description.abstract The time series of New Zealand's weekly electricity consumption is modelled by the structural time series models as proposed by Harvey ( 1984 ). These models are based on the traditional decomposition of a time series into trend, seasonal and irregular components and because they are in state space form use is made of the Kalman filter. The characteristics of the time series under study lead to a number of refinements of earlier models. Results of estimation and forecasting are presented. en_NZ
dc.format pdf en_NZ
dc.language en_NZ
dc.language.iso en_NZ
dc.publisher Te Herenga Waka—Victoria University of Wellington en_NZ
dc.title Forecasting electricity consumption with structural time series models en_NZ
dc.type Text en_NZ
vuwschema.type.vuw Awarded Research Masters Thesis en_NZ
thesis.degree.discipline Statistics and Operations Research en_NZ
thesis.degree.grantor Te Herenga Waka—Victoria University of Wellington en_NZ
thesis.degree.level Masters en_NZ
thesis.degree.name Master of Science en_NZ


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