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Generator Event Detection from Synchrophasor Data Using a Two-Step Time-Series Machine Learning Algorithm.

, , , , and . IGSC, page 1-7. IEEE, (2018)

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A Sensitivity Based Approach for Efficient PMU Deployment on Smart Grid., , , , , , and . SMARTGREENS/VEHITS (Selected Papers), volume 579 of Communications in Computer and Information Science, page 199-215. Springer, (2015)Fast Sequence Component Analysis for Attack Detection in Synchrophasor Networks., , , , , , and . CoRR, (2015)Supporting Multi-Provider Serverless Computing on the Edge., and . ICPP Workshops, page 20:1-20:6. ACM, (2018)Making sense of performance in in-memory computing frameworks for scientific data analysis: A case study of the spark system., , , and . J. Parallel Distributed Comput., (2018)Fast Sequence Component Analysis for Attack Detection in Smart Grid., , , , , , and . SMARTGREENS, page 225-232. SciTePress, (2016)A Sensitivity Study of PMU-based Fault Detection on Smart Grid., , , , , , and . SMARTGREENS, page 185-192. SciTePress, (2015)A Comprehensive Study on Bugs in Actor Systems., and . ICPP, page 56:1-56:9. ACM, (2018)Temporal Reasoning about Resources for Deadline Assurance in Distributed Systems., and . ICDCS Workshops, page 13-20. IEEE Computer Society, (2010)A Hybrid Approach for Detecting Bugs in HPC Workloads., and . ICPADS, page 1968-1974. IEEE, (2023)Energy-aware resource allocation for multicores with per-core frequency scaling., and . J. Internet Serv. Appl., 5 (1): 9:1-9:15 (2014)