Jordan Landford

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—Large databases and data warehouses are becoming prevalent for the storage and management of energy data. Accelerating the rates at which data can be retrieved is beneficial not only to allow for more efficient search of the data, but also to be integrated with other energy system tools. In this paper, a fast indexing and data retrieval method, known(More)
—This paper provides a synchrophasor data analysis methodology that leverages statistical correlation techniques in order to identify data inconsistencies, as well as power system contingencies. Included in this analysis are the techniques for data management that are used to process the high-granularity and high-cardinality data gathered from synchrophasor(More)
—Modern power systems have begun integrating syn-chrophasor technologies into part of daily operations. Given the amount of solutions offered and the maturity rate of application development it is not a matter of " if " but a matter of " when " in regards to these technologies becoming ubiquitous in control centers around the world. While the benefits are(More)
Increased adoption and deployment of phasor measurement units (PMU) has provided valuable fine-grained data over the grid. Analysis over these data can provide insight into the health of the grid, thereby improving control over operations. Realizing this data-driven control, however, requires validating, processing and storing massive amounts of PMU data.(More)
Keywords—PMU, data management, bitmap index, electrical distance, correlation, power system contingency. operators to recognize events as they occur. The indexing and data retrieval mechanism facilitates fast access to archived PMU data. Using this method, we achieved over 30× speedup for queries with high selectivity. With the development of these two(More)
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