> For the complete documentation index, see [llms.txt](https://knowledge.aterio.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://knowledge.aterio.io/data-products/power-generation-projects.md). # Power Generation Projects Aterio.io’s **US Power Generation Dataset** provides a comprehensive inventory of power generation and supporting infrastructure projects across the United States, including utility-scale and distributed assets that are operational, under development, or in the planning stages. Sourced from regulatory filings, interconnection queues, developer disclosures, satellite imagery, energy market data, and Aterio’s proprietary models, the dataset offers detailed information on generation technology, project location, developers, utilities, interconnection status, generation capacity, storage capacity, and grid integration. The dataset covers solar, wind, battery energy storage, hydrogen, natural gas generation, and other power generation technologies, as well as related transmission infrastructure. It provides visibility into regional generation capacity additions, project development activity, and power investment trends across major U.S. ISOs, RTOs, utilities, and balancing authorities. --- # 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://knowledge.aterio.io/data-products/power-generation-projects.md?ask=&goal= ``` `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.