Recursive short-term load-forecasting algorithm
- 1 January 1974
- journal article
- Published by Institution of Engineering and Technology (IET) in Proceedings of the Institution of Electrical Engineers
- Vol. 121 (1) , 59-62
- https://doi.org/10.1049/piee.1974.0008
Abstract
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.Keywords
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