Filtered renewal processes are used to forecast daily river flows. For these processes, contrary to filtered Poisson processes, the time\nbetween consecutive events is not necessarily exponentially distributed, which is more realistic. The model is applied to obtain oneand\ntwo-day-ahead forecasts of the flows of the Delaware and Hudson Rivers, both located in the United States. Better results are\nobtained than with filtered Poisson processes, which are often used to model river flows.
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