Spike Talk in Power Electronic Grids -- Leveraging Post Moore's Computing Laws
Fuente:
arXiv
Salvato in:
| Autori principali: | , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2024
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866917834839293952 |
|---|---|
| author | Song, Yubo Sahoo, Subham |
| author_facet | Song, Yubo Sahoo, Subham |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_07654 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Spike Talk in Power Electronic Grids -- Leveraging Post Moore's Computing Laws Song, Yubo Sahoo, Subham Emerging Technologies Artificial Intelligence Neural and Evolutionary Computing Systems and Control 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. |
| title | Spike Talk in Power Electronic Grids -- Leveraging Post Moore's Computing Laws |
| topic | Emerging Technologies Artificial Intelligence Neural and Evolutionary Computing Systems and Control |
| url | https://arxiv.org/abs/2411.07654 |