Quantum Neural Networks for Power Flow Analysis

arXiv:2311.06293v2 Announce Type: replace-cross
Abstract: This paper explores the potential application of quantum and hybrid quantum-classical neural networks in power flow analysis. Experiments are conducted using two datasets based on 4-bus and 33-bus test systems. A systematic performance comparison is also conducted among quantum, hybrid quantum-classical, and classical neural networks. The comparison is based on (i) generalization ability, (ii) robustness, (iii) training dataset size needed, (iv) training error, and (v) training process stability. The results show that the developed hybrid …

abstract analysis application arxiv comparison cs.lg cs.sy datasets eess.sy flow hybrid networks neural networks paper performance power quant-ph quantum quantum neural networks systems test type