Title :
Application of dynamical system theory for short-term water load demand prediction
Author :
Beckwith, S.F. ; Wong, C.K.P.
Author_Institution :
Artificial Intelligence & Power Syst. Res. Group, Western Australia Univ., Nedlands, WA
fDate :
29 Nov-2 Dec 1994
Abstract :
This paper first presents the concept of embedding a time series. It then presents a method for determining the dimension of the model of the load demand time series based on correlation dimension of observed load data. The procedure to approximate the time series model by tessellation and the application of the natural neighbour interpolation technique to the tessellation to perform water load demand predication is described. The suitability of this approach is illustrated through an application example using actual water consumption figures supplied by the Water Authority of Western Australia
Keywords :
interpolation; load forecasting; time series; water supply; correlation dimension; dynamical system theory; natural neighbour interpolation technique; observed load data; short-term water load demand prediction; tessellation; time series; Centralized control; Control systems; Demand forecasting; Economic forecasting; Interpolation; Load forecasting; Power system modeling; Predictive models; State-space methods; Water resources;
Conference_Titel :
Intelligent Information Systems,1994. Proceedings of the 1994 Second Australian and New Zealand Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-7803-2404-8
DOI :
10.1109/ANZIIS.1994.396974
