The Challenge of Processing Power Grid Time Series Data
summary
Examines processing time-series data from power grids: whether off-the-shelf platforms meet all needs or when in-house development is required, data characteristics and selection for analytics, techniques to improve data quality, and specific processing methods for detecting fraud in electrical network datasets.
AI-written summary · about
chapters (7)
- 0:00Introduction
- 6:55Meter data problems
- 12:15Meter telemetry errors
- 20:09Data processing optimization
- 27:18Time series normalization
- 31:15Q&A
- 46:44Summary
related talks
36mHow to Build a Solution Processing Terabytes of Data (...)?
14mLF Energy’s Power Grid Model Project Tackles Complex Grid Calculations Efficiently
19mAdoption of Big Data in Securities Processing Industry A Developer's Perspective
23mDataEngBytes 2023 - MEL-T3-01 - Rajath Vanikul
38mElectrifying Big Issues Through Analytics
14m"Big Data" and Analytics in Government
55mSearching for Time Series Patterns at Big Data Scale
12mThe programming challenges of climate data analysis
