frequenz-api-reporting

Frequenz Reporting API

Build Status PyPI Package Docs

Introduction

Frequenz gRPC API to aggregate component data from microgrids.

Supported Platforms

The following platforms are officially supported (tested):

Overview

The Microgrid Reporting API serves as an interface for obtaining detailed insights into microgrid operations and metrics. Unlike general telemetry APIs, this API specializes in generating reports based on complex, user-defined aggregations of microgrid data. It provides both historical and real-time reporting capabilities.

Objective

The primary objective of the Microgrid Reporting API is to furnish a robust foundation for building data-driven applications that optimize microgrid performance, enable efficient power trading strategies, and facilitate intelligent decision-making across multiple operational scenarios. By aggregating and streamlining access to key metrics and data, this API not only aids in conducting in-depth performance analysis but also supports the development of algorithms and strategies for real-time and future power trading. This dual focus ensures that the API serves as a versatile tool for both operational and financial optimization within the microgrid ecosystem.

Key Features

Scope and Limitations

The Microgrid Reporting API is designed to offer extensive reporting capabilities, allowing for both simple and complex data aggregations across multiple microgrids. It provides granular insights on a per-component basis as well as an overarching view of entire microgrid operations. The scope of the API is limited by the types of aggregation formulas it supports, potentially constraining its utility in highly specialized analytical scenarios.

Target Audience

The Microgrid Reporting API is tailored for a broad audience, including performance analysts, trading strategists, and cloud application developers. Whether the aim is to perform in-depth performance analysis, devise trading strategies based on microgrid data, or build applications that capitalize on real-time and historical data, this API serves as a comprehensive data source. By providing an array of key metrics and aggregation features, it accommodates various use-cases and empowers users to make well-informed decisions in different operational contexts.

Contributing

If you want to know how to build this project and contribute to it, please check out the Contributing Guide.