An application of neural network to dynamic dispatch using multi processors

This paper presents an application of neural networks to dynamic dispatch. The proposed method uses a neural network with appropriate noises and can give efficient initial neuron conditions which are specific to the problem. Therefore, convergence to a local minimum can be suppressed. The method is implemented on a transputer, that is one of the efficient parallel processors, and the appropriate number of processors is examined. It can develop optimal and feasible generator output trajectories quickly by applying forecasts of system load patterns to practical thermal generating unit systems