Artificial Neural Network for Single Reservoir Operation

E-mail [emailprotected] / ) )ISDP ) )ESDP ) ( . ESDP .2-01- 2 ISDP 2-6-2 . (R ( 2 1.9.0 ESDP . 1.81 ISDP . : .Artificial Neural Network for Single Reservoir OperationK. A. Al-Mohseen A. R. M. TowfeeqE-mail Dams & Water Resources Engineering DepartmentMosul UniversityAbstractThe current paper aims to explore the capability of Artificial Neural Networkmodels (ANN) to calculate the optimal operating policy of a single reservoir system(Al_Qaim reservoir on the Al_Khosar River). The ANN models proposed in thisresearch were making use of the outcomes emerged from two Stochastic DynamicProgramming (SDP) models suggested by previous study on the same reservoir systemi.e. Explicit Stochastic Dynamic Programming and Implicit Stochastic DynamicProgramming.The two ANN models have been used to find pattern between inflow and initialstorage of the system in one hand, and the release and the final storage of the system onother hand. It is found that the topology of the first model which adopted the attributesof the ESDP is 2-6-2, while that which was implemented the ISDP attributes has a 2-10-2ANN topology.The final results prevail that good agreement have been exist between the output(release) of the proposed ANN models and those obtained by the two (SDP) models withcoefficients of determination 0.934 and 0.803 respectively.Keywords: Artificial Neural Network, Dynamic Programming, Operation reservoir.