Generation of prognostic interval estimates of water inflows to hydroelectric reservoirs using multiparametric neural network

Abstract

The article discusses the practical application of the neural network for hydropower and water management systems. Various models of neural networks are understood, their advantages and disadvantages for a particular subject area. Method and operation of multiparametric neural network are described using practical examples, in particular, formation of interval estimates in reservoir of hydroelectric power station.