Metadata for Enhancing PQ Data Analytics
* 21PESGM2395, Combining Waveform Analytics and Non-Electrical Data to Locate Incipient Failures: Real World Examples: J. WISCHKAEMPER, Texas A&,M University * 21PESGM2396, Power Quality and Metadata from an End-User Utility Perspective: J. GRAPPE, Duke Energy * 21PESGM2397, Mapping PQ Data to other Utility Databases for PQ Analysis: T. MURPHY, Tennessee Valley Authority * 21PESGM2398, PMU Use Cases for PQ: T. LAUGHNER, powergrid-rx * 21PESGM2399, Representation of Metadata for Data Sources and Observation Records using IEEE PQDIF: D. SABIN, Schneider Electric
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Members: $5.00PES
IEEE Members: $10.00
Non-members: $20.00
29 Jul 2021
Waveform and trend data recorded from a system event only tells part of the story. When a PQ analyst receives this data, they need more context to help further guide analysis. This additional information is referred to as event metadata. This panel session will present different PQ use cases and the associated metadata required for successful analysis. Metadata is an important resource for building a disturbance library and training machine learning algorithms. So it™s important that we have this discussion and fully understand what metadata should be requested when building such a library.
Chairs:
Tom Cooke, EPRI
Sponsor Committees:
Transmission and Distribution