March 12, 2024, 4:43 a.m. | Lang Tong, Xinyi Wang, Qing Zhao

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.06942v1 Announce Type: cross
Abstract: Purpose This article presents a case for a next-generation grid monitoring and control system, leveraging recent advances in generative artificial intelligence (AI), machine learning, and statistical inference. Advancing beyond earlier generations of wide-area monitoring systems built upon supervisory control and data acquisition (SCADA) and synchrophasor technologies, we argue for a monitoring and control framework based on the streaming of continuous point-on-wave (CPOW) measurements with AI-powered data compression and fault detection.
Methods and Results: The architecture …

abstract acquisition advances article artificial artificial intelligence arxiv beyond case continuous control cs.lg cs.sy data eess.sy generative generative artificial intelligence grid inference intelligence machine machine learning monitoring next protection statistical stat.ml systems type

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