during a past period, inflow forecasting is employed. Multi-objective optimization results of conflicting objectives of … inflow forecasting, the small difference is negligible and so this state seems more efficient. Also, a comparison of results …

Instance based learning (IBL) algorithms are a common choice among data driven algorithms for inflow forecasting. They … daily inflow forecasting of the Karoon1 reservoir located in Iran. Copyright Springer Science+Business Media B.V. 2011 …

This paper presents an inflow-forecasting model and a Piecewise Stochastic Dynamic Programming model (PSDP) to … hydropower generation. The simulation results demonstrate that including the GFS-QPFs is beneficial to the Ertan reservoir inflow … forecasting and hydropower generation dispatch. Copyright Springer Science+Business Media B.V. 2010 …

the essence to preserve its water and utilize it very efficiently. Developing inflow-forecasting model is considered the …

show that the ANFIS model was capable of providing higher inflow forecasting accuracy specially at extreme inflow events …