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Unlocking Deeper Insights with Histogram Statistics in Canvass
This white paper explores the value of histogram statistics in the Canvass platform for analyzing voltage, current, and power data. It details how to access and interpret key metrics‚ such as average, median, mode, percentiles, variance, skew, and kurtosis‚ to gain a nuanced understanding of system performance, identify patterns like bi-modal distributions, and detect anomalies that may be missed by simpler statistical measures.
Key topics include:
- Introduction to Histogram Statistics in Canvass
- Accessing and Viewing Histograms
- Understanding Key Statistical Measures
- Interpreting Complex Data Distributions
- Percentiles, Variance, Skew, and Kurtosis
- Practical Applications and Case Examples
Why utilities should care:
Histogram statistics provide actionable insights into system performance, helping to pinpoint voltage irregularities, assess load profiles, and distinguish between routine fluctuations and significant anomalies, enabling more informed operational and planning decisions.
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