Inverse estimation of distributed generation by complex-valued network inversion

The network inversion has been studied as a neural network based solution of inverse problems. As the extension of the network inversion to complex numbers, the complex-valued network inversion was proposed. On the other hands, it is an inverse problem to estimate the distributed generation parameters from a number of observed electric circuit data. Also, it is necessary to handle the complex number in the AC circuit. In this paper, we propose to apply the complex-valued network inversion to the inverse estimation of the distributed generation.