> ## Documentation Index
> Fetch the complete documentation index at: https://docs.plantpredict.com/llms.txt
> Use this file to discover all available pages before exploring further.

#  

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    <img src="https://mintcdn.com/terabaseenergy/iiAvm3u0yaPPvDgU/logo/Terabase_PlantPredict_Primary_Logo_White.svg?fit=max&auto=format&n=iiAvm3u0yaPPvDgU&q=85&s=00d16ee188089d2e0fd9f9985ac4b900" alt="PlantPredict" className="mx-auto mb-6" style={{ width: "320px", maxWidth: "80%" }} width="495" height="126" data-path="logo/Terabase_PlantPredict_Primary_Logo_White.svg" />

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      User Guide
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# Welcome to PlantPredict

PlantPredict is an industry-leading performance modeling platform designed specifically for large-scale solar power plants. From initial prospecting through detailed engineering, construction validation, and operational monitoring, PlantPredict provides the analytical foundation for accurate energy yield predictions throughout the entire project lifecycle.

## What is PlantPredict?

PlantPredict combines sophisticated photovoltaic performance algorithms with an intuitive user interface to deliver bankable energy predictions for utility-scale solar projects. The platform supports:

* **Pre-development Analysis** — Quickly assess site potential with preliminary energy estimates
* **Detailed Performance Modeling** — Configure complex system designs with multiple blocks, arrays, and inverter configurations
* **3D Modeling** — Visualize and analyze shading impacts with terrain-aware 3D scene modeling
* **Energy Storage Integration** — Model hybrid PV + battery systems with configurable dispatch strategies
* **Modern Cloud-Based Architecture** — Access PlantPredict from anywhere via web browser, leverage RESTful APIs for automation and integration, and collaborate across teams with shared project libraries

Whether you're evaluating a new site, optimizing an existing design, or validating construction progress, PlantPredict delivers the precision and flexibility required by project developers, EPCs, and asset owners worldwide.

***

## Documentation Overview

The PlantPredict documentation is organized into three major sections to help you find the information you need:

<CardGroup cols={3}>
  <Card title="User Guide" icon="book-open" href="/user-guide/intro/introduction">
    Complete documentation for the PlantPredict web application interface, prediction results interpretation, typical workflows, and knowledge base articles.
  </Card>

  <Card title="Models & Algorithms" icon="sigma" href="/models/general/intro">
    Technical documentation of the underlying physics models, mathematical algorithms, and calculation methodologies used by PlantPredict.
  </Card>

  <Card title="API & SDK" icon="code" href="/api-docs/intro">
    Developer resources for programmatic access to PlantPredict, including REST API documentation, Python SDK guides, and code examples.
  </Card>
</CardGroup>

***

## User Guide Sections

The User Guide is organized into the following sections to help you navigate the PlantPredict application:

### User Interface

The **User Interface** section provides comprehensive documentation for every screen and input in the PlantPredict web application. Learn how to:

* Navigate the application using the sidebar and library views
* Create and manage weather files, modules, and inverters
* Build power plant designs using both the Block Builder and Map Builder interfaces
* Configure 3D scenes for detailed shading analysis
* Set up energy storage systems and dispatch strategies
* Manage user accounts and organization settings

### Prediction Results

The **Prediction Results** section explains how to interpret and analyze the outputs from your PlantPredict simulations:

* Summary results and key performance metrics
* P50 loss tree analysis and energy flow diagrams
* Uncertainty analysis and exceedance probability (P90, P99)
* Nodal data exports for detailed component-level analysis

### Typical Workflows

The **Typical Workflows** section provides step-by-step guides for common tasks in PlantPredict, helping you accomplish specific goals efficiently.

### Knowledge Base

The **Knowledge Base** contains articles addressing specific topics, troubleshooting guides, and best practices for using PlantPredict effectively.

***

## Getting Started

New to PlantPredict? Here are some recommended starting points:

1. **[Sidebar Navigation](/user-guide/ui/ui-overview)** — Learn the application layout and navigation structure
2. **[Weather Library](/user-guide/ui/weather-library)** — Understand how to import and manage weather data
3. **[Module Library](/user-guide/ui/module-library)** — Create and configure PV module files
4. **[Project Library](/user-guide/ui/project-library)** — Create your first project
5. **[Predictions](/user-guide/ui/predictions)** — Configure and run energy predictions

For a deeper understanding of the science behind PlantPredict, explore the [Models & Algorithms](/models/general/intro) documentation.

For programmatic access and automation, see the [API & SDK](/api-docs/intro) documentation.