Abstract: In this article, we propose an energy-efficient Ge-based device that enables on-chip unsupervised learning using Spike-Timing-Dependent-Plasticity (STDP) in a Spiking Neural Network (SNN). A ...

The identification of anomalies in power distribution networks is a critical component in ensuring the reliability and stability of energy systems. This investigation aims to find anomalous patterns ...