Title :
Identification of seasonal water supply forecasting models using Akaike´s information criterion
Author_Institution :
University of Idaho, Moscow, Idaho
Abstract :
A streamflow model representative of basins subject to seasonal snowcover is developed using Akaike´s information criterion for structure determination. A seasonal water supply forecasting function based on the model is given and its performance is evaluated. Extensions to include hydrometeorological inputs in the model and to make it self-tuning to changes in streamflow dynamics are discussed.
Keywords :
Economic forecasting; Manuals; Power generation economics; Predictive models; Rivers;
Conference_Titel :
Decision and Control including the Symposium on Adaptive Processes, 1979 18th IEEE Conference on
Conference_Location :
Fort Lauderdale, FL, USA
DOI :
10.1109/CDC.1979.270071