> For the complete documentation index, see [llms.txt](https://docs.tracenable.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tracenable.com/energy.md).

# Energy

- [Introduction](https://docs.tracenable.com/energy/introduction.md): Get introduced to Tracenable’s Energy Dataset, including its scope, key characteristics, and unique value, and get redirected to detailed pages to deepen your knowledge.
- [Definitions & Terminology](https://docs.tracenable.com/energy/definitions-and-terminology.md): Understand what qualifies as energy data, its classifications, main energy types (total, electricity, heat), energy flow type, and renewability.
- [Data Dimensions & Metrics](https://docs.tracenable.com/energy/data-dimensions-and-metrics.md): Learn how Energy data is structured in Tracenable’s dimensional model, with four core dimensions, and explore the full set of metrics derived from their combinations.
- [References & Standards](https://docs.tracenable.com/energy/references-and-standards.md): Discover the foundational references and reporting standards that shape Tracenable’s Energy Dataset.
- [Data Collection Methodology](https://docs.tracenable.com/energy/data-collection-methodology.md): Learn how Tracenable collects, standardizes, and validates corporate energ data through a five-step human-in-the-loop methodology, with links to detailed subpages on sources, standardization, and QAs.
- [Data Sources](https://docs.tracenable.com/energy/data-collection-methodology/data-sources.md): See where Tracenable’s energy data comes from. Learn which corporate disclosures, registries, and web sources we capture, and how every metric is fully traceable back to its origin.
- [Standardization Guidelines](https://docs.tracenable.com/energy/data-collection-methodology/standardization-guidelines.md): Learn how Tracenable standardizes corporate energy data through consistent mapping and classification rules, ensuring energy reporting remains accurate, comparable, and aligned with global standards.
- [Calculation Logic](https://docs.tracenable.com/energy/data-collection-methodology/calculation-logic.md): Learn how Tracenable infers missing energy metrics using clear bottom-up and top-down accounting rules, ensuring data is complete, consistent, and transparent.
- [Quality Assurance](https://docs.tracenable.com/energy/data-collection-methodology/quality-assurance.md): Discover how Tracenable validates energy data through automated checks, statistical tests, and human review to deliver audit-grade reliability.
- [Data Dictionary](https://docs.tracenable.com/energy/data-dictionary.md)


---

# 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.tracenable.com/energy.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.