Recursive short-term load-forecasting algorithm
作者:
K.L.S.Sharma,
A.K.Mahalanabis,
期刊:
Proceedings of the Institution of Electrical Engineers
(IET Available online 1974)
卷期:
Volume 121,
issue 1
页码: 59-62
年代: 1974
DOI:10.1049/piee.1974.0008
出版商: IEE
数据来源: IET
摘要:
The problem of forecasting the integrated-load demand of an interconnected power system is studied. It is proposed that the harmonic-series model for the weekly load pattern be expressed in the state-variable form. This then permits the use of Kalman-filtering techniques, for load-prediction purposes. It is shown that this approach leads to an improvement in the forecasting reliability, without increasing the online computational requirements. The results of a particular study are also presented.
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