> For the complete documentation index, see [llms.txt](https://docs.buildings.ability.abb/collection/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.buildings.ability.abb/collection/suites/energy-and-sustainability-intelligence/energy-anomaly-detection/anomalies-tab.md).

# Anomalies tab

## Use the *Anomalies* tab

### Overview

If the module *Anomalies* is available for an asset, the asset details page contains an *Anomalies* tab.

In this tab, you can review anomaly information for the selected asset and its attributes.\
For each attribute, the page shows:

* main anomaly key performance indicators
* anomaly type distribution
* anomaly development in a chart
* a list of detected anomalies

Navigate to: *Assets* -> *\[Select an asset]* -> *Anomalies*.\
▷ The *Anomalies* tab opens.

### Elements of the *Anomalies* tab

<figure><img src="/files/1MEQtrvLHr0JYYitmpbh" alt=""><figcaption></figcaption></figure>

<table><thead><tr><th width="186.79998779296875">Element</th><th>Description</th></tr></thead><tbody><tr><td>Attribute section</td><td>Each section represents one attribute of the selected asset, for example electricity or water.</td></tr><tr><td><strong>Anomaly score</strong></td><td>Shows the anomaly score for the attribute.</td></tr><tr><td><strong>Last anomaly date</strong></td><td>Shows when the most recent anomaly was detected for the attribute.</td></tr><tr><td><strong>Total cost impact</strong></td><td>Shows the total financial impact of the detected anomalies for the attribute.</td></tr><tr><td><strong>Anomalies Types</strong></td><td>Shows the distribution of anomaly types for the attribute.</td></tr><tr><td><strong>Anomalies On Chart</strong></td><td>Shows the anomaly behavior in a chart for the selected timeframe.</td></tr><tr><td><strong>Anomalies History</strong></td><td>Shows a list of detected anomalies for the attribute.</td></tr></tbody></table>

### Understand the attribute overview

Each attribute card summarizes anomaly information for one attribute of the selected asset.

The left side of the card shows the main key performance indicators:

* **Anomaly score**
* **Last anomaly date**
* **Total cost impact**

These values help you quickly assess whether the attribute currently shows relevant anomaly activity.

### Understand *Anomalies Types*

The widget **Anomalies Types** shows how the detected anomalies are distributed across anomaly types for the selected attribute.

Use this view to understand which kinds of anomalies occur most often for the attribute.

### Understand *Anomalies On Chart*

The widget **Anomalies On Chart** shows the anomaly behavior over time for the selected attribute.

Use this chart to identify:

* when anomaly-related changes occurred
* whether anomaly behavior is increasing or decreasing
* how the anomaly pattern develops over the selected timeframe

### Understand *Anomalies History*

The section **Anomalies History** shows a list of detected anomalies for the selected attribute.

The list provides a quick overview of recent anomaly events and their most important values.

### Notes

* The *Anomalies* tab is available only if the module *Anomalies* is enabled for the asset.
* The tab groups anomaly information by attribute.
* Use the attribute sections to compare anomaly behavior across different asset attributes.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.buildings.ability.abb/collection/suites/energy-and-sustainability-intelligence/energy-anomaly-detection/anomalies-tab.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
