For the complete documentation index, see llms.txt. This page is also available as Markdown.

Anomaly detail Page

Overview

The Anomaly detail page shows the full context of a detected anomaly.

Here, you can:

  • review the main anomaly metrics

  • inspect the anomaly in a chart

  • view diagnostics and AI-generated explanations

  • review the affected asset information

  • validate the anomaly

  • view related child anomalies

To open the page, navigate to Alert Center -> Anomaly Center and click on the arrow icon of an anomaly in the anomaly list. ▷ The Anomaly detail page opens.

Elements of Anomaly detail

[A]

Main metrics

Shows the main anomaly values, such as financial impact, severity, validity, status information, deviation, predicted value, actual value, timeframe, and start and end time.

[B]

Anomaly chart

Shows the anomaly in the selected aggregation timeframe.

[C]

Diagnostics and AI analysis

Shows rule-based diagnostics, AI-generated explanations, and recommended actions.

[D]

Source information

Shows the asset information of the anomaly, including asset, asset type, attribute, and tags.

[E]

Validation

Lets you set the anomaly status to Confirmed or False and add a comment.

[F]

Nested anomalies

Shows the child anomalies related to the selected anomaly.

Understand the anomaly chart

The chart [B] shows the meter data in the aggregation timeframe of the anomaly.

The chart elements have the following meaning:

  • Light blue line: The measured data of the meter

  • Red dots: The detected anomaly points

  • Red background: The duration of the anomaly

  • Green range: The range in which the model expected healthy behavior

You can change the displayed timespan. The chart remains centered on the selected anomaly.

Diagnostics and AI analysis

The section [C] contains diagnostic and explanatory information about the anomaly.

It includes:

  • Diagnostics Rule-based diagnostics, including weather-based diagnostics and information about which asset types had the strongest influence on the anomaly.

  • AI explanation and recommended actions AI-generated explanation and recommended actions for the anomaly.

Generate or update the AI analysis

  1. Click on AI Analysis. ▷ The explanation and recommended actions are generated or updated.

Open the AI deep dive

  1. Click on AI Deepdive. ▷ A deeper analysis of the anomaly opens.

AI Deepdive is available if the corresponding assistant module is installed.

Validate the anomaly

In [E], you can validate the anomaly and add a comment.

  1. Under Validity status, select:

    • Confirmed

    • False

  2. If required, enter a comment.

  3. Click on Save. ▷ The validation is updated.

◈ This feedback is considered by the system. ◈ Marked false alarms help improve future anomaly handling and reduce repeated alerting of similar false positives.

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