Spike Talk in Power Electronic Grids -- Leveraging Post Moore's Computing Laws
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Abstract (arXiv)
Emerging distributed generation demands highly reliable and resilient coordinating control in microgrids. To improve on these aspects, spiking neural network is leveraged, as a grid-edge intelligence tool to establish a talkative infrastructure, Spike Talk, expediting coordination in next-generation microgrids without the need of communication at all. This paper unravels the physics behind Spike Talk from the perspective of its distributed infrastructure, which aims to address the Von Neumann Bottleneck. Relying on inferring information via power flows in tie lines, Spike Talk allows adaptive and flexible control and coordination itself, and features in synaptic plasticity facilitating online and local training functionality. Preliminary case studies are demonstrated with results, while more extensive validations are to be included as future scopes of work.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 20 references that are in the map. First posted on arXiv 12 Nov 2024.
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5 of 20 references.
References · 5
- 2021Training Spiking Neural Networks Using Lessons From Deep Learningcited by 259
- 2024Neuromorphic Event-Driven Semantic Communication in Microgridscited by 2
- 2024Spike Talk: Genesis and Neural Coding Scheme Translationscited by 2
- 2024Inferring Ingrained Remote Information in AC Power Flows Using Neuromorphic Modality Regimecited by 1
- 2024On Noise Resiliency of Neuromorphic Inferential Communication in Microgridscited by 1
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