Application of neural networks to unit commitment

In this paper, an improved Hopfield neural network which was described previously by the authors (1997) is applied to the power system unit commitment problem. A new mapping process has been used and a computational method for obtaining the weights and biases is described using a slack variable technique for handling inequality constraints.