Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/86995
DC FieldValue
dc.titleA study on the accuracy of time series modeling of daily power demand
dc.contributor.authorGoh, T.N.
dc.contributor.authorOng, H.L.
dc.contributor.authorLee, Y.O.
dc.date.accessioned2014-10-07T10:23:04Z
dc.date.available2014-10-07T10:23:04Z
dc.date.issued1985-06
dc.identifier.citationGoh, T.N.,Ong, H.L.,Lee, Y.O. (1985-06). A study on the accuracy of time series modeling of daily power demand. Electric Power Systems Research 9 (1) : 73-77. ScholarBank@NUS Repository.
dc.identifier.issn03787796
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/86995
dc.description.abstractThe suitability and reliability of the stochastic time series modeling and forecasting approach to load management are examined through actual applications not only to aggregate system load but also to a variety of load types at the 66 22 kV level representing electricity demands in areas of several km2. Daily peak demand forecasts with an accuracy comparable with that of telemetering values have been found to be attainable irrespective of load type, thus establishing the practicality and usefulness of the methodology to operations management and network planning. © 1985.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.sourcetitleElectric Power Systems Research
dc.description.volume9
dc.description.issue1
dc.description.page73-77
dc.description.codenEPSRD
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Page view(s)

38
checked on Oct 12, 2019

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.