| Title |
Decomposed Artificial Neural Networks for Analyzing the Electricity Market with Incomplete Information |
| DOI |
https://doi.org/10.5370/KIEE.2020.69.4.560 |
| Keywords |
Artificial Neural Networks; Electricity Market; Incomplete Information; Oligopoly; Nash Equilibrium; Decomposed Structure |
| Abstract |
This paper proposes an decomposed structure of artificial neural networks (NN) for analyzing electricity market for calculating equilibrium. We attempted to separate the neural network structure into small pieces by drawing a state hidden inside the integrated structure. Then the NN takes a longer time to learn, but if there is uncertainty in the information handled by the ANN, the decomposed NN proposed in this study is meaningful. In particular, if the accuracy of the NN is a concern due to incomplete information, the advantages of decomposed NN become more prominent. |