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dc.date.accessioned2022-08-05T21:31:50Z-
dc.date.available2022-08-05T21:31:50Z-
dc.date.issued2018-
dc.identifier.urihttp://item.bettergrids.org/handle/1001/614-
dc.description.abstractGeographic information and fuel types are available in synthetic electric grid models. Key to synthesize PMU data is to represent, but not limited to: 1) geographic and temporal variations in generation and demand sides; 2) system operation and control; 3) Noise signals. We are currently in progress to generate more data under various scenarios and further improve/validate the generated results. More details will come soon. If you have any questions on synthetic PMU data, please contact Adam Birchfield There are multiple files, each of which contains 1-hour synthetic PMU data of specific areas using the ACTIVSg2000 model. The data is provided in both CSV and IEEE COMTRADE (2013) format.en_US
dc.publisherTexas A&M Universityen_US
dc.titleSynthetic PMU Dataen_US
dc.typeGrid Model Dataseten_US
grid.formatOtheren_US
grid.identifier.urlhttps://electricgrids.engr.tamu.edu/electric-grid-test-cases/synthetic-pmu-data/?preview=true-
Appears in Collections:Synthetic Data for Power Grid R&D



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