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This paper presents a solution technique based on two-phase neural network for short term scheduling of hydropower generations. Objective function is to minimize the nonhydraulic power production expenses over the scheduling period. Results concerning this method are compared with those achieved from successive solution of augmented lagrangian function utilizing familiar conjugate gradient method.

Author

1234sura

Language

EN