Reliable High-Frequency Energy Data Capture at Scale

This case study explores a new approach to capturing and analyzing high-frequency electrical data in real time. It explains how continuous, lossless ingestion of raw waveforms at research-grade frequencies enables organizations to move beyond traditional event-based monitoring and gain deeper insight into power systems.

By capturing every sample across hundreds of waveform channels in an active HPC data center, the approach supports detailed analysis of harmonics, transients, and system dynamics. This creates a new level of observability, turning high-frequency electrical signals into a persistent and accessible dataset for research and operational improvement.

What this resource covers:

• Challenges with traditional electrical monitoring and data limitations
• Continuous, lossless ingestion of high-frequency waveform data
• Managing large-scale data streams across many channels
• Analyzing harmonics, transients, and power-system behavior
• Differences between event-based and full-signal data capture
• Supporting real-time insight in HPC data center environments
• Enabling a new model of observability for research and operations