Short-term electrical load prediction and related aspects

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dc.contributor.advisor Dr A.C. Tsoi en
dc.contributor.advisor Professor J.L. Woodward en
dc.contributor.author Kobe, Maria Ursula en
dc.date.accessioned 2007-12-11T21:18:32Z en
dc.date.available 2007-12-11T21:18:32Z en
dc.date.issued 1986 en
dc.identifier.citation Thesis (PhD--Electrical and Electronic Engineering)--University of Auckland, 1986. en
dc.identifier.uri http://hdl.handle.net/2292/2247 en
dc.description Restricted Item. Print thesis available in the University of Auckland Library or may be available through Interlibrary Loan. en
dc.description.abstract This thesis examines a number of questions that arise in the process of forecasting and managing the load of an electrical power system, and presents some possible solutions. The study was based on the situation of one New Zealand Supply Authority, which is able to directly control the hot water heater component of its load. To the extent that the data worked with was obtained from this particular electrical system, the solutions found apply specifically to it. However the methods used to determine a model for the hot water heater load channels in response to switching, as well as the pulse filter and short-term load forecasting algorithms developed, are more generally applicable. The digital pulse filter algorithm is an improvement on the traditionally employed method of obtaining frequently updated readings of system load from kWh metering pulses. The hot water heater channel model that was found, enabled a reconstruction of uncontrolled load values from the measured controlled system load values to be undertaken. The ability of various short-term forecasting algorithms of the time series type to predict such load series was then examined. The different methods were designed to incorporate to various extents the features of the load and temperature series, and the effect of temperature on load. Comparisons of the methods' forecasting accuracies then pointed out those load features that it is most important to model in order to obtain better forecasts. (The results were of interest in that they showed that additional model sophistication did not necessarily imply more accurate forecasting algorithm performance.) en
dc.format Scanned from print thesis en
dc.language.iso en en
dc.publisher ResearchSpace@Auckland en
dc.relation.ispartof PhD Thesis - University of Auckland en
dc.relation.isreferencedby UoA747219 en
dc.rights Whole document restricted. Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Short-term electrical load prediction and related aspects en
dc.type Thesis en
thesis.degree.discipline Electrical and Electronic Engineering en
thesis.degree.grantor The University of Auckland en
thesis.degree.level Doctoral en
thesis.degree.name PhD en
dc.subject.marsden Fields of Research::240000 Physical Sciences en
dc.rights.holder Copyright: The author en
pubs.local.anzsrc 0906 - Electrical and Electronic Engineering en
dc.rights.accessrights http://purl.org/eprint/accessRights/ClosedAccess en
pubs.org-id Faculty of Engineering en


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