Introduction

The enflow project is a cutting-edge framework designed for the modeling and analysis of energy resources. Utilizing the principles of the OpenAI Gym API, it offers a flexible and interactive environment where various approaches to energy management and optimization can be tested and benchmarked.

Purpose

Philosophy - Python-first - Problem-centric - Reusable and modular - Verification and validation - Enables benchmarking - Model-first approach is the Mantra - Model agnostic -

The core objective of enflow is to facilitate research and development in the field of energy resources. By providing a standardized and extensible platform, it allows researchers, engineers, and data scientists to:

  • Model diverse energy resources and systems.

  • Implement and test a variety of optimization algorithms.

  • Benchmark different approaches under consistent conditions.

  • Explore innovative strategies for efficient energy management.

Features

  • OpenAI Gym API Integration: Leverages the familiar and robust OpenAI Gym API for defining and managing simulation environments, ensuring ease of use and broad compatibility with existing tools and methods.

  • Modular Design: Built with modularity in mind, enabling users to easily customize and extend the framework to suit specific needs and scenarios.

  • Comprehensive Benchmarking Tools: Includes tools for thorough benchmarking, allowing for the effective comparison of various strategies and approaches.

  • Community-Driven: Open for contributions, promoting a collaborative approach to solving complex problems in energy resource management.

Installation

To begin using enflow, first install the package:

pip install enflow

Then, explore the documentation to learn more about setting up your environment, creating models, and running simulations.

Contributing

We welcome contributions to the enflow project! Whether it’s improving the documentation, adding new features, or fixing bugs, your input is valuable. See our contribution guidelines for more information on how to get involved.

Support and Contact

For support, questions, or feedback, please visit our [GitHub Issues](https://github.com/yourusername/enflow/issues) page or contact us directly through our project website.

Thank you for your interest in enflow, and we look forward to seeing the innovative ways in which you use this framework!